MSC SOIL, WATER, ENERGY RESOURCES AND AGRICULTURAL ENVIRONMENT MANAGEMENT

Study Guide

 

Faculty of Agriculture

 Postgraduate Master

«Soil, Water, Energy Resources and Agricultural Environment Management»

Μ2.3 Study Guide

September 2025

 

  1. INTRODUCTION – THE SCHOOL OF AGRICULTURE

General Information

History

Two years after the Faculty of Philosophy started receiving students (1926), the Faculty of Agriculture opened within the Faculty of Natural and Mathematical Sciences. In 1937 the Faculty was split and two of its Faculties, Agriculture and Forestry, became a separate Faculty and were incorporated into the Agricultural University of Athens, which closed down in that year. In 1981, the Faculty of Agriculture and Forestry was split up and the two FACULTYs became separate Faculties. In 1982, under the Law no. 1268/82, the Faculties of Agriculture, Forestry, and Veterinary Science became Departments under the Faculty of Geotechnical Sciences of Aristotle University of Thessaloniki. In 2005 the Faculty of Geotechnical Sciences was split up in three Faculties: The Faculty of Agriculture, the Faculty of Forestry and the Faculty of Veterinary Science.

The School of Agriculture at present has 61 Teaching and Research Staff members, 5 Degree Law 407/80, 31 Laboratory Teaching Staff (E.DI.P.), 14 Administrative and Technical Staff and 1 Farm Staff. Currently the Faculty has nearly 3600 registered undergraduate students, 221 Master of Science students, and 138 Doctoral degree candidates. Until now, the School has awarded nearly 14.000 degrees, 1.544 MSc degrees and 395 Doctoral degrees. Its graduates have gone on to work for the Ministry of Agriculture and other public services and organizations, making a great contribution to the rapid progress of Greek agriculture in the postwar period. At the same time, an ever-increasing number of graduates are offering their services in the private sector, while many others are making remarkable contribution in educational and research institutions abroad.

 

Facilities

The premises of the SCHOOL of Agriculture are on the university campus in the center of the city. Teaching and training take place in the four lecture theatres, in the laboratories and classrooms, while fieldwork is done mainly in the university farm. The farm is about fourteen kilometers south-east from the University campus. It covers 220 ha and at present has two buildings for students, containing two classrooms equipped with teaching aids, a library, two computer rooms, a general activities room, and twenty smaller rooms which are used as offices and storerooms. Other buildings accommodate the SCHOOL’s laboratories, modern livestock facilities, and laboratories for processing plant and animal products.

 

Library

The School of Agriculture has its own library, on its premises in the main campus. At the moment, about 16,000 books, 215 periodicals, and other related material covering almost all 11 subjects of agricultural sciences are available in the library. Other printed material is available in the various laboratories of the School. All these materials may be located via the university’ s on-line general catalogue. Library books are available for loan. It is also possible to borrow books, articles, doctoral theses, and so on from the British Library, and to place on-line orders for articles and periodicals, not available in the Aristotle University, from libraries elsewhere in Greece.

The library has a reading room; two photocopiers operated by magnetic cards which students can buy on the spot and computers with access to on-line data bases and internet. Laser and inkjet printers can be used in a reasonable cost for students.

Electronic Support

Apart from the computers in various laboratories, which students may use for working on their assignments, the School also has three special computer rooms, one in the Agriculture Lab Informatics on campus and two in the farm. All the computers in these rooms are connected to the university network and provide free access to the Internet. They are available to students both for their educational needs and for research.

 

  1. LOCATIONS AND CONTACTS

Structure and Organization

Administrative and Management Bodies

The School is administered by the General Assembly, the Head’s Council, and the Head. The General Assembly consists of the Head and the Associate Head of the School, the Heads of the seven Departments, 30 representatives of the Teaching and Research Staff, 19 representatives of the Undergraduate students, five representatives of the Postgraduate students, and two representatives of the Technical and Administrative Staff. The Secretary of the School is in charge of the secretarial support.

The Head’s Council consists of the Head, the Associate Head, the Secretary, the Heads of the seven Departments, two representatives of the Undergraduate students, one representative of the Postgraduate students, and one representative of the Technical and Administrative Staff.

Each of the seven Departments of the School of Agriculture has its own General Assembly, which is composed of the Scientific Teaching and Research Staff of the Department as well as the Undergraduate student representatives and one representative of the Postgraduate students from that Department.

The Head and the Associate Head of the School are elected by the School for a term of two years. The Head of the Department is also elected by the Departmental Staff, serving in this position for one year.

The Head’s Council for the 2025-26  academic year is the following:

Thomas Kotsopoulos, Professor, Professor, Head of the School.

Andrew Mamolos, Professor, Associate Head of The School.

Mauromatis Athanasios, Professor, Head of Field Crops and Ecology Department.

Stefanos Chatzilazarou, Associate Professor, Associate Professor, Head of Horticulture and Viticulture

Anastasia Lagopodi, Professor, Head of Crop Protection Department.

George Micaelidis, Associate Professor, Head of Animal Production Department.

Maria Partalidou, Professor, Head of Agricultural Economics Department.

Theodora Matsi, Professor, Head of Hydraulics, Soil Science and Agricultural Engineering Department

Eugene Katsanidis, Professor, Head of Food Science and Technology Department.

 

Members of the Departmental Assembly (DA)

  1. Christos Dordas, Professor
  2. Katerina Karamanoli, Professor

3.Baia Kati, Assistant Professor

  1. Pantazis Georgiou, Professor
  2. Dimitris Karpouzos, Professor
  3. Basil Fragos, Professor,
  4. Ioannis Giantsis, Assistant Professor

8 Basilios Ntotas

  1. Dimitrios Gerasopoulos, Professor
  2. Athina Lazaridou, Professor
  3. Thomas Moshakis, Professor
  4. Sergaki Panagiota, Professor
  5. Thomas Bournaris, Professor
  6. Nick Kolousis, Professor
  7. Zisis Vrizas, Associate Professor
  8. Stefanos Koundouras, Professor

 

Department Secretary: Georgia Vouvari

 

Location

The School Office, where undergraduate and postgraduate secretaries are based, and the auditoriums, where most undergraduate teaching is conducted, are located at the building of the Faculty of Agriculture at the main campus of the Aristotle University. Staff offices, postgraduate teaching rooms, IT facilities and the School library are located in the same building. Several Facilities are also located at the University Farm at Thermi, next to the Macedonia Airport.

Postal Address

Faculty of Agriculture,

University Campus,

Aristotle University of Thessaloniki, Thessaloniki 54124, Greece

Tel. +30 2310 998636, 995395, 998636, 998636

E-mail: info@agro.auth.gr

University website: http://www.auth.gr/

School website: http://www.agro.auth.gr/

School facebook group: https://www.facebook.com/geoponiki/?locale=el_GR

Aristotle University ERASMUS website: http://www.eurep.auth.gr/

Aristotle University Library website: http://www.lib.auth.gr/

 

  1. AIMS AND LEARNING OUTCOMES OF THE POSTGRADUATE PROGRAM

The aim of the program is to promote knowledge, develop research and arts, as well as the satisfaction of the educational, research, social, cultural and developmental needs of the country. Specifically, the aim of the program is the high standards training of scientist that will be cable to excel in theoretical and applied geotechnical sciences, and specifically in the subjects of agricultural hydraulics, soil science, and agricultural engineering. All of the above subjects are connected to the study of basic and applied research in management of water and soil resources, in biosystems engineering, and the utilization of renewable energy systems in agriculture, within the frame of sustainable development and protection of the agricultural environment.

The learning outcomes and the skills of those who graduated from the program are to be able to provide technically sound solutions and services in the subjects of soil science, water resources, agricultural engineering, in protecting and saving soil and water, in good practices in fertilizer applications, in preventing and minimizing soil degradation, in good practices in waste management (manure, sewage sludge, etc), in good practice in energy resources management, in actions for the amelioration of climate change effects or the adjustment of agriculture to climate change, including life cycle assessment and storage of organic carbon in soils, using byproducts, waste, residues and other materials for cyclic bio-economy, and minimizing greenhouse gas emissions from agricultural activities, in combination with modernizing farms, improving sustainability, competitiveness and innovation.

The program graduates will develop skills in automations in agriculture, satellite monitoring of agricultural resources with earth observation systems and their spatial analysis with geo-informatics techniques, applications of sensor networks and artificial intelligence in precision agriculture, management of supply chain, agricultural machinery, mechanical harvesting, energy conservation from renewable resources and in agricultural applications and constructions, the design of modern greenhouse facilities, the design and construction of animal husbandry buildings, the design and operation of irrigation and drainage networks, the utilization and management of groundwater, the design of hydraulic structures in agriculture, the simulation of movement and pollutants of surface and ground waters, the intergraded management of water resources and the development and utilization of simulations of water systems in the level of drainage basements, the incorporation of modern methodologies of optimizing and advanced technologies of spatial and time related observation of parameters in drainage and water resources, the design of small scale agricultural waste management systems, the use of hydroinformatics methods in simulation and optimization of water systems, the utilization of industry byproducts and waste in improving soil fertility, the integrated management of soil nutrients, the study and protection of soil biodiversity, the utilization of soil microbes in agriculture and broadly in producing, developing and spreading knowledge, methodologies, tools and research results in the scientific field of agricultural sciences. In addition, they will be able to provide high quality services, of high scientific standards, in companies, Greek State offices, (ministry of agriculture, districts), or in other national or European services the deal with soil science, water resources, energy and agricultural environment.

This program will also prepare its graduates for PhD studies, enabling them to pursue a PhD in a great array of subjects.

 

  1. ADMISSION PROCESS

The selection procedure for candidates, after confirmation by the Department Assembly (DA) of the suggestion of the Steering Committee (SC), is performed by a three-member Selection Committee that consists of the Director of the program, and two (2) faculty members that are involved in the program. The secretariat supplies the Selection Committee all applications and attached material. Candidates are required to file:

  1. Application (form provided in the programs and Department’s web site).
  2. A copy of the applicant’s first-degree diploma,. No Postgraduate Diploma is awarded by the Aristotle University of Thessaloniki to any student whose first-cycle degree from a foreign institution which has not been recognized by D.O.A.T.A.P (the Hellenic National Academic Recognition and Information Center or Hellenic NARIC) according to Law 3328/2005 (A’ 80).
  3. A transcript of records for all his/her studies.
  4. A complete curriculum vitae, in English, and a dossier with any published papers or works of the applicant, and6. Certificate that proves knowledge of English or other languages (if there are any).

The documents under points (2) and (3) must be submitted in the original language and, in case they are not issued in Greek for the AUTh, with an official translation in English.

 

Α. Knowledge of the English language is certified with written exams (translation of a scientific text of general nature) and is graded as Pass (corresponding to a grade of 6 in a 1-10 scale) or Fail (that corresponds to a grade less than 6). Knowledge of English is a requirement for the further evaluation of candidates. Candidates with a C1 or C2 English language certificate, according to the Council of Europe system that are also accepted by the Greek state (Α.Σ.Ε.Π.), are exempted from the examination

Exempted from the English language exams are also those with:

  1. BS in English language and literature, or BS in Foreign Languages, Translation and Interpreting or similar
  2. BS, MS or PhD of an abroad institution recognized by D.O.A.T.A.P

iii.            Diploma that corresponds to that of a Greek school of secondary education, if this haw been awarded after regular studies of at least six years abroad. License of competence in teaching of a foreign language does not prove knowledge of a foreign language (Π.Δ. 347/2003). Candidates that have such a license must provide the program with a certified copy and a translation of their certificate of studies based on which the license of competence in teaching of a foreign language has been issued.

Β. The examination in English is done be two faculty members that are appointed by the SC. The names of the candidates are covered by themselves at the examination. Every Examiner covers his grading immediately. The grades are uncovered from the Selection Committee at its meeting. In case of one Pass and one Fail grade, the examination sheet is given for re-grading to a teacher of English with the name of the candidate covered. The resulting grade is final.

  1. Brief statement (up to 1000 words) where the candidates will state their scientific interests and the reasons of their application, including their aims, the expected benefits/learning outcomes, how the program is connected to their past, the skills that make the candidate appropriate to the program.
  2. Scientific publications / Certificates of professional or research experience (if there are any)
  3. Two letters of recommendation
  4. Copy of police ID.
  5. A recent photo.

12 A declaration (law 1599/86) where it is stated that all the certificates and paperwork that were submitted are original and prototypes, or a precise photocopy of the original prototypes

  1. Foreign candidates must submit a certificate of knowledge of the Greek language, or a certificate of level at least B2.

Candidates that do not yet hold a first-cycle degree, a transcripts record will be accepted, and their registration will be finalized after they procure and provide their BS.

 

Selection criteria and process of evaluation

The selection committee forms a list with all candidates and, after thorough checking of their documents, rejects those who do not meet the minimum criteria that have been set by the Department and notifies the rest of the candidates for the mandatory personal interview.

For candidates to be accepted it is required that their grade of their first-cycle degree is at least six (6.0) in a 1-10 scale. If their degree is from abroad, it is required that it is registered with the National Register of Abroad Recognized Institutions of Higher Education and in the National Record of Titles of Abroad Recognized Institutions of Higher Education or that there is a relevant decision of the Department’s Assembly.

The number of candidates that may be accepted per year is 20 students. The graduate program shall not operate with less than six students.

The program cannot accept students that are simultaneously registered in other MS programs or PhD candidates in any other higher education School of the same or other Departments. Registered students of the program are not allowed until their exit from the program to be simultaneously registered in other MS programs or PhD candidates in any other higher education school.

The evaluation by the Selection Committee of the candidates that have submitted their applications and all required certificates and paperwork within the deadlines, is based on the following criteria and coefficients from which the final Selection grade is calculated (with a total of 100 points):

Ι.             Degree grade (max 50 points)

Grade Χ 5 Χ coefficient (five year study ΑΕΙ=1, four year study: UniversityΙ=0.8, Τechnological Institution= 0.6)

ΙΙ.            Relevance of studies (max 35 points)

Α) Degree from the Agronomy Department (Auth), division of Hydraulics, Soil science and Agricultural engineering and Department of Natural Resources Development and Agricultural Engineering of the Agricultural University of Athens or other Departments from abroad with the same subject: 35 points.

Β) Degrees from the Agronomy Department (Auth), all other divisions or of other Agricultural Departments: 28 points.

  1. C) Degrees of non Agricultural Departments of 5year studies: 27 points.
  2. D) Degress of non Agricultural Departments of 4year studies: 24 points.

Ε) Degrees from Technical Institutions: 18 points.

For every course in the transcripts that is relevant to the program 0.2 points are added and 0.6 for the dissertation, it is relevant to the program.

Maximum grade for degrees of:

Agricultural Departments of other divisions: 29 points.

Non Agricultural Departments of 5year studies: 28 μόρια

Non Agricultural Departments of 4year studies: 25 points.

Technical Institutions: 19 points.

ΙΙΙ.           Interview and other qualifications (max 15 points)

Α) Interview (6 points)

Β) The 1000 word max Brief statement (max 3 points)

  1. C) Research or professional experience within the subject of the program, or knowledge of a second or other foreign language, or a second degree, MS, PhD that are certified (max 4)
  2. D) The two letters of recommendation (max 2 points: 1 x 2).

 

The grading system and the coefficients may change with a decision of the DA after suggestion of the SC.

The Selection Committee catalogues all candidates and after checking their files rejects those that do not meet the minimum requirements and invites those who do in an interview.

After the whole process and the evaluation, the Selection Committee classifies the candidates according to their total points on a list, which is submitted to the DA for verification/ The DA verifies the list and declares the acceptance of the candidates to the program. The list is then uploaded in the Department’s and the program’s web site. Objections may be filed within five (5) working days from the announcement of the results.

Accepted are candidates with a total number of points greater or equal to fifty (50). In addition, In case of equal grading in the last selected students, whoever has the highest BS degree to the second decimal, is admitted. In case of a tie, the issue is resolved with a draw. The list of successfoul candidates is certified by the Steering Committee, after the recommendation of the Selection Committee.

The accepted candidates may register with the secretariat within the to be announced deadline. In case of failure to keep the deadline, this will be taken as refusal and the next in the list is notified to proceed in registering.

 

Selection of Non-Greek Citizen Candidates

Non-Greek Citizen Candidates, with a degree of higher education from abroad, are selected with the same criteria, that is considering the BS degree, the grades in the relevant BS courses and dissertation, knowledge of foreign languages, scientific and professional experience, the quality of the Brief statement, their letters of recommendation.

In addition, non-Greek Citizen candidates must file a Greek language certificate, of at least B2 level. Non-Greek citizens that are graduates of Greek Universities are selected with the same criteria as those for Greek citizen graduates of Greek Universities.

 

  1. DURATION OF STUDIES

The total duration of the Program is three (3) academic semesters, in total 90 ECTS. The third semester includes the elaboration and submission of a postgraduate dissertation. The minimum time leading to a degree is three semesters, while the maximum time allowed for the completion of studies is three years (6 semesters). A student who, for any reason, does not complete his/er studies after the lapse of three years (six semesters) from the date of first registration, is dismissed from the Program

There is a capacity of partial studies, with a duration that cannot exceed twice that of the normal studies [six (6) semesters)]. Graduate students may register and attend have the courses of the program per semester. Partial studies are permitted for those who can verify that they work at least twenty (20) hours per week, and for non-working students who fail to live up to the minimum responsibilities of the foul program and for extreme cases, for which its up to the Department’s Assembly to decide. As such, are illness, serious family reasons, military service, unexpected situations. The application for partial studies is filled before the beginning of the academic semesters, along with the required by the Department documents. In addition, after a relevant application, suspension from studies may be granted, which will not exceed two (2) consecutive semesters. During suspension, the graduate student loses the privileges of a student. The suspension time is not included in the maximum duration of studies. Furthermore, after a justified application before the completion of the normal duration of studies, graduate students may apply for an extension of studies, for reasons related to the completion of studies or of the dissertation. After the end of the extension interval, the graduate student is removed from registration, with a decision from the Departments’ Assembly. The applications for partial studies, suspension or extension are filed before the beginning of the academic semesters.

 

  1. CURRICULUM – EVALUATION

The total duration of the Program is three (3) academic semesters.

In the first semester there are five (5) compulsory courses: one compulsory course with two (2) ECTS and four (4) with seven (7) ECTS, each [the first semester has a total of thirty (30) ECTS].

In the second semester there are five courses: one (1) compulsory with two (2) ECTS and four elective with seven (7) ECTS each [the second semester has a total of thirty (30) ECTS].

In the third semester a Thesis is completed, with thirty (30) ECTS.

The official language of the program is Greek and the language of the Thesis may be Greek or English.

Writing of a Thesis is mandatory, and students will present the results of their research publicly, in front of an Examination Committee. The presentation is open to the public.

The Steering Committee of the Departments’ Assembly may modify the Program of Studies and redistribute courses in different semesters.

 

Α) Program of Studies

The following courses are offered, with their corresponding codes for every category, consecutive number and ECTS, as they are distributed within semesters. Courses are either core (COR) or elective (ELC). The total number of credit units (ECTS) for obtaining the Diploma of Postgraduate Studies is 90. During the first semester the graduate student registers for five core courses:

 

 

 

 

 

1St’ Semester (Total ECTS 30)
Code Title Type (COR./ELC.) Distance Learning ECTS
NDEEP 101 Controlled Environment Systems (COR) COR 15% 7
NDEEP 102 Water Resources Management (COR ) COR 15% 7
NDEEP 103 Plant-Soil Relationships(υπ) COR 15% 7
NDEEP 104 Research Methodology I (COR) COR 15% 2
NDEEP 105 Precision Agriculture and Energy Saving (COR ) COR 15% 7
(5 COR. Cources: 30 ECTS.)

Total ECTS

      

30

 

Before the beginning of the second semester the graduate student choses a supervisor and together they declare the subject of the Thesis and the specialized courses from the groups of courses that appropriate to the Thesis subject. Any supervisor shall not have more than two new students per year of first registration under supervision. In the second semester, each graduate student with the consent of the supervisor registers for the one core course and selects at least two courses from the group of courses that are most relevant to the Thesis, one course from another group and one more course (total of 4 electives).

 

Second semester (Total ECTS 30)

(One Core course. Students choose four from the elective courses)
Code Title Type (COR./ELC.) Distance Learning ECTS
NDEEP 106 Research Methodology II (COR) COR 15% 2
Elective from group X (ΕLC) ELC 15% 7
Elective from group X (ΕLC) ELC 15% 7
Elective from group Y (ΕLC) ELC 15% 7
Elective from group A, B or C(ΕLC) ELC 15% 7
(1 Core course:2 ECTS, 4 Electivecources30 ECTS)

Total ECTS

     

30

 

Course Group Α

Code Title Type (Core/ELC) Distance Learning ECTS 
NDEEP 107 Water Quality and Environmental Protection(επ.) ELC 15% 7
NDEEP 108 Surface and Groundwater Hydrology (ELC) ELC 15% 7
NDEEP 109 Irrigation and Drainage(επ.) ELC 15% 7
NDEEP 110 Hydroinformatics (ELC) ELC 15% 7
NDEEP 124 Special Subject in Soil, Water and Energy Resources in Agriculture ELC 15% 7

 

Course Group Β

Code Title Type (Core/ELC) Distance Learning ECTS
NDEEP 111 Environmental Soil Chemistry (ELC) ELC 15% 7
NDEEP  112 Agricultural Soil Physics (ELC) ELC 15% 7
NDEEP  113 Soil Management – Microbiome Interaction (ELC) Ε 15% 7
NDEEP 114 Integrated Soil Nutrient Management (ELC) ELC 15% 7
NDEEP 115 Biosystems Management and Earth Observation Systems (ELC) ELC 15% 7
NDEEP 116 Geoinformatics (ELC) ELC 15% 7
NDEEP 124 Special Subject in Soil, Water and Energy Resources in Agriculture ELC 15% 7

 

Course Group C

Code Title Type (Core/ELC) Distance Learning ECTS
NDEEP 117 Valorization of Agricultural Waste and By-products with the Use of Biotechnology (ELC) ELC 15% 7
NDEEP 118 Design of Renewable Energy Systems in Agriculture (ELC) ELC 15% 7
NDEEP 119 Big Data processing – Ιnternet of Τhings (IoT) (ELC) ELC 15% 7
NDEEP 120 Simulation and Modeling of Biosystems (ELC) ELC 15% 7
NDEEP 121 Artificial Intelligence – Robotics (ELC) ELC 15% 7
NDEEP 124 Special Subject in Soil, Water and Energy Resources in Agriculture ELC 15% 7

 

Third Semester

Code Title Type (Core/ELC) Distance Learning ECTS
NDEEP 123 Thesis (COR) COR 0 30

 

The course classes, content and evaluation are set at the beginning of each semester by the group of instructors that have been appointed for each course, with the responsibility of the course coordinator, who is a faculty member. Class and laboratory attendance is mandatory. Diversions to this rule are allowed only for serious, justified reasons, and in such a case, no more than two (2) absences per course. Students are evaluated only by the program’s appointed instructors. Evaluation is performed with written or oral examinations, homework, lab reports or combinations of the above. It is possible under special circumstances or force majeure events, to conduct a course examination with distance education means, as long as the of the fairness of the procedure is secured.

The grading scale for the evaluation of the performance of postgraduate students for the Aristotle University of Thessaloniki is set from zero (0) to ten (10), as follows:

– Excellent (8.5 to 10)

– Very Good (6.5 to 8.5 not included)

– Good (6 to 6.5 not included).

The passing grade is six (6) and upwards. Half-points are allowed

The final grade of the Program is calculated based on the weighted average of each Program course and the dissertation. The weighting is made based on the credit units (ECTS) of each course and the dissertation and is calculated, with an accuracy of second decimal place as follows:

Final Grade = (course 1 grade x course ECTS + course 2 grade x course 2 ECTS+ …. + dissertation grade x dissertation ECTS)/Total number of ECTS.

If a postgraduate student fails in the examination of up to two courses, s/he may be re-examined in those cources. The time of re-examination is set for the end of the second semester, after an application filed by the student. The student will be examined by a three member committee appointed by the Steering Committee. If s/he fails again, s/he is considered not to have successfully completed the program and may be re-examined again from a three member committee, formed by Department’s members with the same or related discipline to the course that s/he failed and appointed by the Department’s Assembly, after his/her application. From this committee, whoever was assigned the course, is exempted. If s/he fails again, s/he is dismissed from the Program. Any student who fails shall receive a certificate that includes the courses in which s/he has succeeded.

 

  1. 5. Tuition, scholarships and tuition waver

There are tuition fees, with a total sum of one thousand and five hundred euros (1.500,00 €) for a foul circle of studies. Fees are paid by students themselves (or by a third party, physical or legal, on his behalf) in three equal instalments at he beginning of each course or dissertation academic semester and within ten (10) day from its beginning. It is possible to set more installments, after a student application and improvement from the of the Steering Committee. Fees are paid to the program’s account set by ELKE, AUTH.

Students may get a tuition waiver, if they fulfill economic or social criteria. Prerequisite for this privilege is holding a first degree with a grade corresponding to higher or equal to seven and half out ouf ten (7.5/10). The total number of beneficiaries shall not exceed that of thirty percent (30%) of the total number of enrolled students per academic year. Applications for tuition waiver are submitted after the conclusion of the process of enrollment. The criteria for tuition waiver are:

  1. a) The average number of the sum of the taxable income of the last two (2) financial years of the total number of family members of the tuition waiver applicant, that is of the applicant him/herself, her/his parents, irrespective of filing a common or separate tax declaration, and his/her siblings up to twenty six (26) years of age, if they are not married and have the same taxable income by means of article 7 of legislation 4172/2013 (Α’ 167), does not exceed seventy percent (70%) of the national median available income, according to the most recent Greek Statistics Authority (EL.STAT), if the applicant has not fulfilled his twenty sixth (26th) yar of age and is not married or has not signed a civil partnership.
  2. b) The average number of his personal taxable income of the last two (2) financial yars of the applicant does not exceed one hundred percent (100%) of the national median of available equitable income, according to the latest published EL.STAT data, if the applicant has fulfilled the twenty sixth (26th) year of age.
  3. c) The average number of the sum of the taxable income of the last two (2) financial years of the applicant of the tuition waiver and his/her spouse or civil partner, if s/he is married or in civil partnership, regardless of filling a common or a separate tax declaration, does not exceed one hundred percent (100%) of the national median of available equivalent income, according to the latest published EL.STAT data.

 

If the tuition waiver applicant has not fulfilled his twenty sixth (26th) year of age and is a child of a family with three or more children or child of a single parent or an orphan by at least one (1) parent or a person with disabilities or a member of a household with a person with disability, s/he may apply for half (50%) the tuition waiver, if the average number of case a) of paragraph 4 of article 86 of legislation 4957/2022, exceeds seventy percent (70%) and is less than one hundred percent (100%) of the national median of available equivalent income, according to the latest published EL.STAT data. The fulfilment of the criteria for tuition waver is examined by the DA, which issues a justified decision of acceptance or not acceptance of the application.

The privilege of tuition waver is granted for studying in solely one (1) program of graduate studies that is organized by a native higher education institution. This does not apply to third county citizens. The DA, after suggestion of the Steering Committee, may grand one (1) scholarship per year in the form of tuition waver. Scholarships may be granted by companies or other organizations.

Scholarships or marks of excellence may be awarded to students, after a DA decision. Scholarships are awarded based on academic or objective criteria (such as grade point average of the previous semester, etc) or offer of services, and must be included within the budget of the program. The terms, the requirements and the rights of the candidates are formed by a DA decision.

 

  1. The awarded Graduate Studies Diploma (GSD)

The program awards a Graduate Studies Diploma titled «Soil, Water, Energy Resources and Agricultural Environment Management» and the corresponding Diploma Supplement for all its graduates in English and Greek language. The successful completion of studies of the program leads to a level seven (7) National and European Qualifications Framework, according to article 47 of legislation 4763/2020 (Α’ 254).

 

  1. COURSE OUTLINES

 

First semester – core courses

 

Controlled Environment Systems (7 ECTS)

Instructors:         Vasileios Fragkos, Thomas Kotsopoulos, Xanthoula Irini Pantazi, Evangelos Anastasiou

Course description:

Physiology of energy exchanges between the livestock and thermal microenvironment. Influence of ambient temperature. Models for determining the heat produced in the thermoneutral zone and lower critical temperature livestock. Method of calculation of the energy needs by vapor balance and the required ventilation. Agro-climatic zones in Greece. Thermal greenhouses needs. Heat transfer modes αpplicatios in the livestocks and greenhouses. Problem solving.

Course modules

  1. Physiology of energy exchanges between the livestock and thermal microenvironment.
  2. Influence of ambient temperature.
  3. Models for determining the heat produced in the thermoneutral zone and lower critical temperature livestock.
  4. Models for determining the heat produced in the thermoneutral zone and lower critical temperature livestock.
  5. Method of calculation of the energy needs by vapor balance and the required ventilation.
  6. Method of calculation of the energy needs by vapor balance and the required ventilation.
  7. Agro-climatic zones in Greece.
  8. Thermal greenhouses needs.
  9. Heat transfer modes applications in the livestocks and greenhouses.
  10. Heat transfer modes applications in the livestocks and greenhouses.
  11. Problem solving.
  12. Problem solving.
  13. Problem solving

Learning Outcomes:

Upon completion of this course, students will :

  1. know the basic heat transfer modes in the livestocks and greenhouses.
  2. become aware of their environmental parameters and energy needs in order to be able to intervene ensuring an appropriate internal environment.

Evaluation methods

50% Written exams 50% Written assignment

  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative

Selected bibliography

 

 

 

Water Resources Management (7 ECTS)

Instructors:         Pantazis Georgiou, Dimitrios Karpouzos

Course description:

Basic concepts of water resources management. Legal and institutional framework of water resources. Analysis of the country’s water districts. Water uses. Estimation of water needs. Water balance. Water resources exploitation projects. Climate change and water resources. Water footprint. Sustainable development goals (SDGs) and water management in agriculture. Water saving techniques. Computational tools for simulation and integrated management of water resources. NEXUS Approach Methodology Framework.

Course modules

  1. Basic concepts of water resources management.
  2. Legal and institutional framework of water resources.
  3. Analysis of the country’s water districts.

4.Water uses.

  1. Estimation of water needs.
  2. Water balance.
  3. Water resources exploitation projects.
  4. Climate change and water resources.
  5. Water footprint.
  6. Sustainable development goals (SDGs) and water management in agriculture.
  7. Water saving techniques.
  8. Computational tools for simulation and integrated management of water resources.
  9. NEXUS Approach Methodology Framework.

Learning Outcomes:

Upon completion of this course, students will be able to:

  1. estimate water demand for various uses
  2. apply techniques for managing and optimizing the available water resources
  3. develop water resources management studies

Evaluation methods

70% written exams 30% project

  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative

Selected bibliography

Mays L.W., 1996. “Water Resources Handbook”. McGraw-Hill, Inc.

Louks, D.P., van Beek, E., Stedinger, J.R., Dijkman, J.P.M. and Villars, M.T., 2005. Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications. UNESCO and WL/Delft Hydarulics.

 

Plant-Soil Relationships (7 ECTS)

Instructors: Τheodora Matsi, Evangelia Gkolia Ioannis, Ipsilantis, Ioannis Panagopoulos

Course description:

The soil environment. Development, structure and function of the root system. Soil particle surface, rhizosphere and rhizoplane.  Water relationships in the plant-soil system. Simple and combined effects of physical and mechanical soil properties (structure, mechanical impedance, soil water, air and temperature) in root growth and function. Managing soils for better root growth.  Root effects on soil properties and the soil environment. Simulation of nutrient flow to the roots. Uptake and accumulation of heavy metals in the root system. Microbial activity in the rhizosphere.

The soil-plant-atmosphere system. Soil profile. Soil as a tripartite pore system. Relation of mass-volume of the three soil phases. Water properties in relation to pore means. Water sorption from soil solids. Angle of contact between water and soil solid phase. Capillary movement. Texture and specific soil surface. Soil taxonomy. Properties of soil colloids. Soil structure and aggregation. Effects of structural properties to plant growth. Management of soil environment for optimum root system development.

Soil moisture. Methods of determining soil moisture. Soil water potential. Methods of measuring soil water potential. Characterization curves of soil water retention. Soil pore distribution. Effects of soil texture and structure in soil water retention and water availability for plant growth. Movement and re-distribution of soil water. Soil water infiltration, measurement and calculation. Irrigation parameters and mathematical functions. Evapotranspiration and its parameters and measurement. Crop yield in relation to water infiltration. Management of soil salinity through irrigation..

Course modules

  1. Ion transport, nutrient uptake.
  2. Mathematical models for nutrient uptake.
  3. Toxic elements uptake, plant hyperaccumulators.
  4. Rhizosphere and rhizoplane.
  5. Water relationships in the plant-soil system.
  6. Simple and combined effects of physical and mechanical soil properties (structure, mechanical impedance, soil water, air and temperature) in root growth and function.
  7. Simple and combined effects of physical and mechanical soil properties (structure, mechanical impedance, soil water, air and temperature) in root growth and function.
  8. Managing soils for better root growth.
  9. Root effects on soil properties
  10. Root effects and the soil environment.
  11. Simulation of nutrient flow to the roots.
  12. Uptake and accumulation of heavy metals in the root system.
  13. Microbial activity in the rhizosphere.

Learning Outcomes:

Upon successful completion of this course, students will:

  1. understand the rhizosphere environment
  2. learn how the root system develops under soil stress conditions
  3. be able to solve root system problems related to soil stress
  4. understand interactions between rhizoplane and soil particles
  5. understand the effects of soil mechanical and physical properties on root growth and function
  6. appreciate the interactions between the root system and soil properties.
  7. know soil parts and their functions
  8. be able to appreciate the importance of soil pore size for water retention
  9. be able to understand the effects of soil texture and structure in water
  10. understand the function of the soi-water system for plant growth
  11. be able to measure soil infiltration and calculate the parameters of infiltration

12.be able to appreciate the irrigation parameters using functions

  1. be able to calculate crop evapotranspiration
  2. be able to calculate crop water needs for complete or deficit irrigation

15.be able to calculate irrigation parameters and programming of irrigation with the assistance of soil water balance

Evaluation methods

60%written exams 20% Homework assignments 20% Term project

 

Selected bibliography

Nyle C. Brady and Ray R. Weil. The nature and properties of soils. Pearson Press, Upper Saddle River NJ,

  1. Pinton, Z. Varanini and P. Nannipieri. 2001. The Rhizosphere. Biochemistry and organic substances at the soil-plant interface. Marcel Dekker, Inc, NY. ISBN: 0-8247-0427-4

 

Research Methodology I (2 ECTS)

Instructors: All Instructors

Course description:

Sientific writing, tools for seeking scientific literature, reference citation, presentation of figures and tables, literature review, research proposal writing.

Course modules

  1. Writing technical texts,
  2. Using literature search tools and reference citation
  3. Tables and figures
  4. Systematic reviews,
  5. Data presentation

 

Learning Outcomes:

1) The students may seek, choose, analysze and combine literature date in a specialized scientific area and subject.

2) The students may organize the theoretical/literature material and familiarize themselves with a particular writing style, that of a scientific text.

3) The students may familiarize themselves with plagiarism and how to avoid it

4) The student may familiarize themselves with the use and citation of literature 3. estimate the effect of soil texture and structure on water retention

Evaluation methods

Written Assignment (Summative)

Selected bibliography

 

Precision Agriculture and Energy Saving (7 ECTS)

Instructors: Thomas Alexandridis, Thomas Kotsopoulos, Xanthoula irini Pantazi

Course description:

Advanced knowledge in precision agriculture and resources saving. Technology and equipment: global positioning system (GPS), satellites and drones (UAV), yield mappers, soil scanners, variable rate applicators, management of geographic data in a GIS for spatially and temporally distributed cultivation. Sensors for soil, plants, livestock. Artificial intelligence, big data and robotics. Precision livestock farming. Energy saving by using heat pumps in agricultural buildings. Bioclimatic design of greenhouses and livestock buildings. Resources recovery from agricultural waste and reuse in agricultural production – adoption of the circular economy model at field level. Course modules

  1. Advanced knowledge in precision agriculture and resources saving.
  2. Technology and equipment: global positioning system (GPS)
  3. Satellites and drones (UAV)

4.Yield mappers, soil scanners, variable rate applicators

  1. Management of geographic data in a GIS for spatially and temporally distributed cultivation.
  2. Sensors for soil, plants, livestock.
  3. Artificial intelligence.
  4. Big data and robotics.
  5. Precision livestock farming.
  6. Energy saving by using heat pumps in agricultural buildings.
  7. Bioclimatic design of greenhouses and livestock buildings.
  8. Resources recovery from agricultural waste and reuse in agricultural production
  9. Adoption of the circular economy model at field level.

Learning Outcomes:

Upon successful completion of this course, students will have: 1. Advanced knowledge of principles of precision agriculture and familiarization with equipment for sensing and variable rate application. 2. Advanced knowledge of the principles of resources saving in agriculture and their application in agricultural practice. 3. Critical thinking on decision-making for crop management under the concept of precision agriculture and resources saving.

Evaluation methods

66% subject presentation, 34% individual project

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Performance / Staging (Formative, Summative)

Selected bibliography

http://hdl.handle.net/11419/2670

 

Second semester – compulsory and elective courses

 

Research Methodology II (2 ECTS)

Instructors: All instructors.

Course description:

Writing technical texts, using literature search tools and reference citation, tables and figures, systematic reviews, and data presentation

Course modules

  1. Data presentation
  2. Presentation, attendance and evaluation

Learning Outcomes:

Upon successful completion of this course the students will:

  1. learn different tools of finding and referring to relevant scientific literature
  2. be familiar to designing, organizing and writing scientific texts and presentations
  3. develop skills in presenting scientific results
  4. prepare an outline of their thesis

Evaluation methods

There is no grading, it is pass or fail

Final Presentation

Selected bibliography

 

 

Water Quality and Environmental Protection (7 ECTS)

Instructors: Ioannis Panagopoulos, Sofia Kavalieratou

Course description:

Water quality and pollution of surface and groundwater. Principles and equations of mass and energy balance in water systems. Mass transport processes and equations in streams/rivers and groundwater. Biological and nitrogenous oxygen demand, oxygen balance and reaeration in surface water bodies. Limnology principles: water temperature, stratification, eutrophication and oxygen balance Nitrogen, phosphorus, salts and pesticides in water, soil and groundwater. Irrigation water quality and classification systems. Wastewater treatment, disposal and processes in the soil. Integrated mathematical models for water pollution simulation and remediation at the catchment scale: soil, rivers, lakes and aquifers. Water quality indices and adjustment to Greek conditions. Agriculture as source of water pollution. Protection of agricultural activities from degradation and pollution sources. Rehabilitation of water systems

Course modules

  1. Water quality and pollution of surface and groundwater.
  2. Principles and equations of mass and energy balance in water systems.
  3. Mass transport processes and equations in streams/rivers and groundwater.
  4. Biological and nitrogenous oxygen demand, oxygen balance and reaeration in surface water bodies.
  5. Limnology principles: water temperature, stratification, eutrophication and oxygen balance
  6. Nitrogen, phosphorus, salts and pesticides in water, soil and groundwater.
  7. Irrigation water quality and classification systems.
  8. Wastewater treatment, disposal and processes in the soil.
  9. Integrated mathematical models for water pollution simulation and remediation at the catchment scale: soil, rivers, lakes and aquifers.
  10. Water quality indices and adjustment to Greek conditions.
  11. Agriculture as source of water pollution.
  12. Protection of agricultural activities from degradation and pollution sources.
  13. Rehabilitation of water systems.

 

Learning Outcomes:

Upon completion of this course, students will be able to:

  1. understand the processes of water resources pollution
  2. find solutions for wastewater disposal in water recipients with low environmental impact.
  3. collaborate in case studies of water management, e.g., lake, stream water and groundwater management
  4. assess irrigation water quality and find solutions of using water of marginal water quality in agriculture such as brackish water and wastewater effluents
  5. use water quality indices for water quality evaluation and mathematical models to describe changes in quality and the management needs of water systems

Evaluation methods

50% written exams 50% individual project assignment (a set of exercises) – Exams .

Written Exam with Short Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Performance / Staging (Formative, Summative)

Written Exam with Problem Solving (Formative, Summative)

Selected bibliography

Αντωνόπουλος, Β.Ζ., “Υδραυλική Περιβάλλοντος. και Ποιότητα Υδατικών Πόρων”, Εκδόσεις Τζιόλα, Θεσσαλονικη, 2010 (κωδικός Εύδοξος: 9387)

Αντωνόπουλος, Β.Ζ., ” Ποιότητα και Ρύπανση Υπόγειων Νερών”, Εκδόσεις Ζήτη, Θεσσαλονικη , 2003

Αντωνόπουλος, Β., 2006, «Ποιότητα Αρδευτικού Νερού» και «Περιβαλλοντικές Επιπτώσεις των Εγγειοβελτιωτικών Έργων», Στο Γ.Τσακίρης (Υπευθ. έκδοσης), Υδραυλικά Έργα Σχεδιασμός και Διαχείριση – 1Ι. Εγγειοβελτιωτικά Έργα, ‘Εκδόσεις Συμμετρία, Αθήνα, σελ. 187-218 και 717-742.

Αντωνόπουλος, Β., 2019. Περιβαλλοντική Υδρολογία Λιμνών και Υγροτόπων. [ηλεκτρ. βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/6520. ISBN:                978-960-603-523-4

 

Irrigation and Drainage (7 ECTS)

Instructors: Dimitris Karpouzos, Pantazis Georgiou, Charalampos Georgousis, Sofia Kavalieratou

Course description:

Land reclamation works. Surface and pressurized irrigation networks. Engraving principles and optimal design parameters of the above networks. Irrigation methods. Optimal design, efficiency and selection criteria for irrigation methods. Proicing irrigation water. Computation of  steady and unsteady flow towards drains. Study of flow in the immediate vicinity of a drain pipe (envelope and soil). Applications to drainage problems of irrigated lands. Drainage for salinity control. Drainage methods for heavy soils.

Course modules

  1. Land reclamation works.
  2. Surface and pressurized irrigation networks.
  3. Engraving principles and optimal design parameters of the above networks.
  4. Irrigation methods.
  5. Optimal design, efficiency and selection criteria for irrigation methods.
  6. Optimal design, efficiency and selection criteria for irrigation methods.
  7. Pricing irrigation water.
  8. Computation of steady and unsteady flow towards drains.
  9. Study of flow in the immediate vicinity of a drain pipe (envelope and soil).
  10. Applications to drainage problems of irrigated lands.
  11. Applications to drainage problems of irrigated lands.
  12. Drainage for salinity control.
  13. Drainage methods for heavy soils.

Learning Outcomes:

Upon completion of this course, students will be able to:

  1. to estimate the design parameters of the irrigation methods
  2. to investigate the impact of the irrigation design parameters and select the appropriate combination of their values for optimal efficiency performance and optimal design of the irrigation methods
  3. to estimate the discharge required at the head of a collective irrigation network
  4. to estimate the design parameters of the drainage networks
  5. to investigate the impact of the drainage systems design parameters and select the appropriate combination of their values for optimal design of the drainage systems

Evaluation methods

70% written exams 30% project

Written Exam with Multiple Choice Questions (Formative, Summative)

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Written Exam with Problem Solving (Formative, Summative)

Selected bibliography

Tσακίρης, Γ., 2006. Υδραυλικά Έργα: Σχεδιασμός & Διαχείριση. Τόμος ΙΙ: Εγγειοβελτιωτικά Έργα. Εκδόσεις Συμμετρία, Αθήνα.

Καραμούζης, Δ., 2012. Στραγγίσεις Εδαφών. Εκδόσεις Ζήτη, Θεσσαλονίκη.

Παπαμιχαήλ., Δ. και Μπαμπατζιμόπουλος, Χ., 2014. Εφαρμοσμένη Γεωργική Υδραυλική. Εκδόσεις Ζήτη, Θεσσαλονίκη.

 

Hydroinformatics (7 ECTS)

Instructors:         Pantazis Georgiou, Dimitrios Karpouzos

Course description:

Analysis, simulation and synthetic generation of hydrologic time series. Geostatistics. Periodogram and spectral analysis of hydrologic data. Models for hydrologic time series analysis. Non-seasonal and seasonal autoregressive integrated moving average models. Transfer function-noise models. Intervention analysis models. Optimization methods of water resources systems. Metahereustic algorithms, multi-criteria analysis and neural networks. Decision support systems – estimation of uncertainty. Models and applications in PCs.

Course modules

  1. Analysis, simulation and synthetic generation of hydrologic time series.
  2. Geostatistics.
  3. Periodogram and spectral analysis of hydrologic data.
  4. Models for hydrologic time series analysis.
  5. Non-seasonal and seasonal autoregressive integrated moving average models.
  6. Transfer function-noise models.
  7. Intervention analysis models.
  8. Optimization methods of water resources systems.
  9. Metahereustic algorithms, multi-criteria analysis and neural networks.
  10. Decision support systems – estimation of uncertainty.
  11. Models and applications in PCs.
  12. Models and applications in PCs.
  13. Models and applications in PCs.

Learning Outcomes:

Upon completion of this course, students will be able to:

  1. apply statistical methods for analysis of hydrological variables
  2. apply stochastic models and artificila intelligent models for water resources management

Evaluation methods

70% written exams 30% project

Written Exam with Multiple Choice Questions (Formative, Summative)

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Written Exam with Problem Solving (Formative, Summative)

Selected bibliography

Kumar, P., Folk, M., Markus, M., & Alameda, J. C. (2005). Hydroinformatics: data integrative approaches in computation, analysis, and modeling. CRC Press.

Box, G. E., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time series analysis: forecasting and control. John Wiley & Sons.

Simonovic, S. P. (2012). Managing water resources: methods and tools for a systems approach. Routledge.

 

 

Environmental Soil Chemistry (7 ECTS)

Instructors:         Evangelia Gkolia, Theodora Matsi

Course description:

Inorganic soil components. The chemistry of soil organic matter. Soil solution – solid phase equilibria. Ion exchange processes. Sorption phenomena on soils. Redox chemistry of soils. Kinetics of soil chemical processes. The chemistry of acid soils. The chemistry of saline and sodic soils. Contaminants in waters and soils. Cases of water and soil pollution and decontamination

Course modules

  1. Inorganic soil components.
  2. The chemistry of soil organic matter.
  3. Soil solution – solid phase equilibria.
  4. Ion exchange processes.
  5. Sorption phenomena on soils.
  6. Redox chemistry of soils.
  7. Kinetics of soil chemical processes.
  8. The chemistry of acid soils.
  9. The chemistry of saline and sodic soils.
  10. Contaminants in waters and soils.
  11. Cases of water and soil pollution and decontamination
  12. Cases of water and soil pollution and decontamination

Learning Outcomes:

Upon successful completion of this course, students will be able to:

  1. Know the chemical composition of the constituents of soil solid and liquid phase, the reactions and interactions that take place and the soil chemical properties.
  2. Apply specific methods for analysis of soil chemical properties.
  3. Intepret the results of soil analysis.
  4. Solve issues concerning soil pollution and remediatio

Evaluation methods

50 % written exams. 50 % individual project assignment (a set of laboratory and theory exercises and presentation).

Selected bibliography

Written Exam with Multiple Choice Questions (Formative, Summative)

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Performance / Staging (Formative, Summative)

Written Exam with Problem Solving (Formative, Summative)

Report (Formative, Summative)

Labortatory Assignment (Formative, Summative)

 

Agricultural Soil Physics (7 ECTS)

Instructors:

 

Course description:

Soil physical characteristics. The solid phase of the soil. Soil structure- aggregation models. Stress and strain in soil. Soil compaction. Soil plasticity and soil consistency. The liquid phase of the soil. Equilibrium in force fields – Potential energy. Water retention in soil. Water flow in soil. Mass and energy flow in the soil. The gaseous phase of the soil. Soil temperature and heat flow

Course modules

  1. Soil physical characteristics.
  2. The solid phase of the soil.
  3. Soil structure- aggregation models.
  4. Stress and strain in soil.
  5. Soil compaction.
  6. Soil plasticity and soil consistency.
  7. The liquid phase of the soil.
  8. Equilibrium in force fields – Potential energy.
  9. Water retention in soil.
  10. Water flow in soil.
  11. Mass and energy flow in the soil.
  12. The gaseous phase of the soil.
  13. Soil temperature and heat flow

Learning Outcomes:

Upon completion of this course, students will be able to:

1.Understand soil structure and its effect on water and air movement in soil

2.Understand  the effect of stress and strain on agricultural soil compaction

3.Understand equilibrium in force fields

  1. Understand mass and energy flow in the soil
  2. Organize and present work that concern physical properties of agricultural soils

Evaluation methods

60% written exams 40% homework project assignments

Written Exam with Multiple Choice Questions (Formative, Summative)

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Performance / Staging (Formative, Summative)

Selected bibliography

Hillel, D., 2004. Introduction to Environmental Soil Physics, Academic Press, Elsevier, ISBN: 0-12-348655-6

Jury W. and Horton R. 2004. Soil Physics. John Wiley & Sons, New Jersey

Roth, K., 2012: Soil Physics. Lecture Notes. Institute of Environmental Physics, Heidelberg University

Hakansson I. 2005. Machinery-induced compaction of arable soils. Uppsala: (NL, NJ) > Dept. of Soil Sciences (until 081001) > Div. of Soil Management

 

Soil Management – Microbiome Interaction (7 ECTS)

Instructors: Ioannis Ipsilantis

Course description:

Methods in soil microbiology – molecular and other novel techniques. Soil enzymes as indicators. Distribution of microorganism in soil and factors affecting soil microbial diversity. Communication and signal exchange in the soil environment – rhizobia and their hosts. Effects of various disturbances in the soil microbial community, resilience and resistance. Greenhouse gasses and soil microorganisms. Climate change and its effects on soil microorganisms. Metals and soil microorganisms. Effects of pesticides and antibiotics on soil microorganisms. Application of olive mill residues, sewage sludge, manure, compost and soil microorganisms – fecal coliforms and viruses in soil. Plant growth promoting microorganisms, bio-inocula and applications. Genetically modified organism and interactions with soil microbial community

Course modules

1.Methods in soil microbiology – molecular and other novel techniques.

  1. Soil enzymes as indicators.
  2. Distribution of microorganism in soil and factors affecting soil microbial diversity.
  3. Communication and signal exchange in the soil environment – rhizobia and their hosts.
  4. Effects of various disturbances in the soil microbial community, resilience and resistance.
  5. Greenhouse gasses and soil microorganisms.
  6. Climate change and its effects on soil microorganisms.
  7. Metals and soil microorganisms.
  8. Effects of pesticides and antibiotics on soil microorganisms.
  9. Application of olive mill residues, sewage sludge, manure, compost and soil microorganisms – fecal coliforms and viruses in soil.
  10. Plant growth promoting microorganisms, bio-inocula and applications.
  11. Genetically modified organisms and interactions with soil microbial community

Learning Outcomes:

Upon completion of this course, students will be able to:

  1. recognize and understand the activities of soil microorganisms and how they interact with the soil environment
  2. understand scientific results, read diagrams and reach conclusions
  3. understand methods and basic lab analyses in soil microbiology
  4. use bibliographic databases

Evaluation methods

40%written exams 20% Homework assignments 20% Laboratory reports 20% Term project

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Performance / Staging (Formative, Summative)

Report (Formative, Summative)

Labortatory Assignment (Formative, Summative)

Selected bibliography

Buscot F., Varma A. 2005, Microorganisms in Soils: Roles in Genesis and Function. Springer-Verlag, Berlin Heidelberg.

Kuzyakov Y., Blagodatskaya E. 2015. Microbial hotspots and hot moments in soil: Concept & review. Soil Biology & Biochemistry 83: 184-199.

Young et al. 2008. Microbial Distribution in Soils: Physics and Scaling. Advances in Agronomy,  100: 81-121.

Zhou et al. 2002. Spatial and Resource Factors Influencing High Microbial Diversity in Soil. Applied and Environmental Micorbiology, 68: 326–334.

Woese C R. 1987. Bacterial Evolution. Microbiological Reviews, 51:221-271.

Ward DM. 2006. Microbial diversity in natural environments: focusing on fundamental questions. Antonie van Leeuwenhoek, 90:309–324.

Kirchmann et al. 2004. Effects of level and quality of organic matter input on carbon storage and biological activity in soil: Synthesis of a long-term experiment. Global Biogeochemical Cycles, 18.

DeVries FT. and Bardgett RD. 2015. Biodiversity climate change impacts report card technical paper. Climate change effects on soil biota in the UK. Biodiversity Report Card 16.

Conrad R. 1996. Soil Microorganisms as Controllers of Atmospheric Trace Gases (H2, CO, CH4, OCS, N2O, and NO). Microbiological Reviews, 60: 609-640.

Burns et al. 2013. Soil enzymes in a changing environment: Current knowledge and future directions. Soil Biology & Biochemistry 58: 216-234.

Nannipieri et al. 2012. Soil enzymology: classical and molecular approaches. Biology and Fertility of Soils, 48:743–762.

Griffiths, et al. 2001. Functional stability, substrate utilisation and biological indicators of soils following environmental impacts. Applied Soil Ecology, 16: 49–61.

Baath, E. 1989. Effects of heavy metals in soil on microbial processes and populations (a review). Water, Air, and Soil Pollution 47: 335-379.

Wood JM, Wang HK.1983. Microbial resistance to heavy metals.  Environmental Science and Technology, 17: 582A-590A.

Giller et al., 2009. Heavy metals and soil microbes. Soil Biology & Biochemistry 41: 2031–2037.

Hussein et al. 2009. Impact of Pesticides on Soil Microbial Diversity, Enzymes, and Biochemical Reactions. Advances in Agronomy, 102: 159-200.

Kumar et al. 2005 Antibiotic use in agriculture and its impact on the terrestrial environment. Advances in Agronomy, 87: 1-54.

Arbeli Z, Fuentes CL. 2007. Accelerated biodegradation of pesticides: An overview of the phenomenon, its basis and possible solutions; and a discussion on the tropical dimension. Crop Protection, 26: 1733–1746.

Di Bene et al. 2013. Short- and long-term effects of olive mill wastewater land spreading on soil chemical and biological properties. Soil Biology & Biochemistry, 56: 21-30.

Griffiths BS, Philippot L. 2013. Insights into the resistance and resilience of the soil microbial community. FEMS Microbiological Reviews, 37: 112–129.

Vessey JK. 2003. Plant growth promoting rhizobacteria as biofertilizers. Plant and Soil 255: 571–586.

Zhuang et al. 2013. Bioactive Molecules in Soil Ecosystems: Masters of the Underground. International Journal of Molecular Sciences, 14: 8841-8868.

Birch et al. 2007. The role of laboratory, glasshouse and field scale experiments in understanding the interactions between genetically modified crops and soil ecosystems: A review of the ECOGEN project. Pedobiologia 51: 251—260.

 

Integrated Soil Nutrient Management (7 ECTS)

Instructors: Evangelia Gkolia, Theodora Matsi

Course description:

Soil chemical analysis as a tool for the assessment of soil fertility. Soil available macro- and micronutrients (determination-calibration-interpretation). Plant tissues analysis. Critical levels of nutrients for crops. Physical-chemical approach of soil fertility assessment (quantity/intensity relations, sorption isotherms, chemical potential). Agricultural productivity and environmental quality.

Course modules

  1. Soil chemical analysis as a tool for the assessment of soil fertility.
  2. Soil available macronutrients (determination-calibration-interpretation)
  3. Soil available micronutrients (determination-calibration-interpretation)
  4. Plant tissues analysis.
  5. Plant tissues analysis.
  6. Critical levels of nutrients for crops.
  7. Physical-chemical approach of soil fertility assessment
  8. Physical-chemical approach of soil fertility assessment
  9. Quantity/intensity relations
  10. Quantity/intensity relations

 

  1. Sorption isotherms
  2. Chemical potential.
  3. Agricultural productivity and environmental quality.

 

Learning Outcomes:

Upon successful completion of this course, students will be able to:

  1. Understand the role of soil properties on the different forms and available amounts of the essential nutrients for plants.
  2. Carry out specific laboratory methods for the determination of soil available nutrients.
  3. Interpret the results of soil and plant tissues analysis.
  4. Recommend fertilization for crops.

Evaluation methods

50 % written exams. 50 % individual project assignment (a set of laboratory and theory exercises and presentation)

Written Exam with Multiple Choice Questions (Formative, Summative)

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Performance / Staging (Formative, Summative)

Written Exam with Problem Solving (Formative, Summative)

Report (Formative, Summative)

Labortatory Assignment (Formative, Summative)

Selected bibliography

Havlin J.L., S.L. Tisdale, W.L. Nelson and J.D. Beaton. 2014. Soil Fertility and Fertilizers. 8th edition. Pearson Inc., NJ.

 

Biosystems Management and Earth Observation Systems (7 ECTS)

Instructors:         Thomas Alexandridis, Georgios Zalidis, Georgios Bilas, Thomas Koutsos

Course description:

Principles of biosystems management, remote sensing and spectroscopy. Electromagnetic radiation and its interaction with soil, water and vegetation. Earth observation systems and their characteristics. Digital image processing. Digital processing of spectral curves. Processing of data to generate information useful for biosystems management. Algorithms and Earth observation big data analysis into advisory services. Soil-water mapping and assessment of the state of agro-ecosystems. Agricultural land registry and related digital maps of soil-water resources. Assessment of agro-ecosystem changes and assessment of the impact of management measures on terrestrial and aquatic ecosystems. Management of agro-ecosystems based on the Nexus approach. Land use planning under the Sustainable Development Goals (UN SDG’s). Adaptation to climate change through the management of agro-ecosystems and soil resources. Estimation of carbon and water balance using Earth observation data.

Course modules

  1. Principles of biosystems management, remote sensing and spectroscopy.
  2. Electromagnetic radiation and its interaction with soil, water and vegetation.
  3. Earth observation systems and their characteristics.
  4. Digital image processing. Digital processing of spectral curves.
  5. Processing of data to generate information useful for biosystems management.
  6. Algorithms and Earth observation big data analysis into advisory services.
  7. Soil-water mapping and assessment of the state of agro-ecosystems.
  8. Agricultural land registry and related digital maps of soil-water resources.
  9. Assessment of agro-ecosystem changes and assessment of the impact of management measures on terrestrial and aquatic ecosystems.
  10. Management of agro-ecosystems based on the Nexus approach.
  11. Land use planning under the Sustainable Development Goals (UN SDG’s).
  12. Adaptation to climate change through the management of agro-ecosystems and soil resources.
  13. Estimation of carbon and water balance using Earth observation data.

 

Learning Outcomes:

Upon successful completion of this course, students will be able to:

  1. Know the principles of monitoring and management of agricultural ecosystems and agricultural resources (soil, water and biodiversity) and the principles of Earth observation, in order to map their status, assess the pressures and changes.
  2. Obtain skills in monitoring, mapping and assessing the status of crops and soil-water resources, in order to provide services.
  3. Obtain digital skills to process Earth observation data (from satellite and UAV remote sensing, spectroscopy, and other sensing infrastructures), in order to support management of biosystems.

Evaluation methods

50% written exams 50% individual project assignment (a set of exercises) – exams on computer

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Performance / Staging (Formative, Summative)

Report (Formative, Summative)

Labortatory Assignment (Formative, Summative)

Selected bibliography

Ν. Συλλαίος, Ι. Γήτας και Γ. Συλλαίος (2007). Εισαγωγή στα Γεωγραφικά Συστήματα Πληροφοριών και στην Τηλεπισκόπηση. Εκδόσεις Γιαχούδη, Θεσσαλονίκη, 544 σελ. (Κωδ. Εύδοξος: 7965)

Παρχαρίδης, Ι., 2015. Αρχές δορυφορικής τηλεπισκόπησης. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/3960

Περάκης, Κ., Μωυσιάδης, Α., Φαρασλής, Ι., 2015. Η τηλεπισκόπηση σε 13 ενότητες. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/1840

 

Geoinformatics (7 ECTS)

Instructors: Thomas Alexandridis, Thomas Koutsos

Course description:

Theoretical background of geoinformatics and spatial analysis: spatial data models, data quality, scale problems, Geostatistics, topology. Collection, analysis and visualization of geographic data. Design of geodatabases. Use of Geographic Information Systems (GIS): spatial data management, spatial analysis (overlay, proximity), continuous surface creation and analysis with spatial interpolation methods, decision support, thematic mapping and cartographic output. Geoinformatics applications in the modeling and management of soil, water resources and the rural environment.

Course modules

  1. Theoretical background of geoinformatics and spatial analysis: spatial data models,
  2. Data quality
  3. Scale problems,
  4. Geostatistics,
  5. Topology.
  6. Collection, analysis and visualization of geographic data.
  7. Design of geodatabases.
  8. Use of Geographic Information Systems (GIS): spatial data management
  9. Spatial analysis (overlay, proximity)
  10. Ccontinuous surface creation and analysis with spatial interpolation methods decision support,
  11. Thematic mapping and cartographic output.
  12. Geoinformatics applications in the modeling and management of soil and the rural environment

13 Geoinformatics applications in the modeling and management of water resources and the rural environment.

 

Learning Outcomes:

After completing the lectures of the course, students will be able to:

  • Understand basic concepts related to spatial analysis and the management of spatial data
  • Be familiar with basic principles of cartography and be able to create a map composition in a GIS environment
  • Understand basic principles of databases within GIS and be able to execute simple queries
  • Conduct Spatial Autocorrelation analyses on data (univariate/bivariate) and identify spatial patterns
  • Apply Spatial Interpolation methods, evaluate the results, and compare their performance.
  • Solve complex problems in spatial analysis in GIS.

Evaluation methods

30% Laboratory exercises – exams on computer 35% Presentation of subject from literature 35% Integrated project assignment

Performance / Staging (Formative, Summative)

Report (Formative, Summative)

Labortatory Assignment (Formative, Summative)

Selected bibliography

Ν. Συλλαίος, Ι. Γήτας και Γ. Συλλαίος (2007). Εισαγωγή στα Γεωγραφικά Συστήματα Πληροφοριών και στην Τηλεπισκόπηση. Εκδόσεις Γιαχούδη, Θεσσαλονίκη, 544 σελ. (Κωδ. Εύδοξος: 7965)

Κ. Κουτσόπουλος (2005). Γεωγραφικά Συστήματα Πληροφοριών και ανάλυση χώρου, 2η έκδοση. Εκδόσεις Παπασωτηρίου, 401 σελ.

  1. Bernhardsen (2002). Geographic Information Systems: An Introduction, 3rd Edition. Wiley, 448 pages.

Χαλκιάς, Χ., Γκούσια, Μ., 2015. Γεωγραφική ανάλυση με την αξιοποίηση της γεωπληροφορικής. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/4546

Ευελπίδου, Ν., Αντωνίου, Β., 2015. Γεωγραφικά συστήματα πληροφοριών. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/1044

Νάκος, Β., 2015 Αναλυτική χαρτογραφία. [ηλεκτρ. βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. https://repository.kallipos.gr/handle/11419/2233

 

Valorization of Agricultural Waste and By-products with the Use of Biotechnology (7 ECTS)

Instructors: Ioannis Fotidis, Ioannis Ipsilantis, Thomas Kotsopoulos

Course description:

Livestock waste (animal manure, litter, cleaning water, etc.) Agro-industrial waste (slaughterhouse waste, cheese waste, food industry waste, etc.). Types and function of bioreactors (CSTR, UASB, BATCH, FED-BATCH), OLR organic loading Rate, HRT Hydraulic Retention Time, cultivation of microorganisms in bioreactors, anaerobic digestion and biogas production, single cell protein production, biogas upgrading with hydrogenotrophic microorganisms, Laboratory exercises and assignment

Course modules

  1. Livestock waste (animal manure, litter, cleaning water, etc.)
  2. Agro-industrial waste (slaughterhouse waste, cheese waste, food industry waste, etc.).
  3. Types and function of bioreactors (CSTR, UASB)
  4. Types and function of bioreactors (BATCH, FED-BATCH)
  5. OLR organic loading Rate
  6. HRT Hydraulic Retention Time
  7. Cultivation of microorganisms in bioreactors
  8. Anaerobic digestion and biogas production
  9. Single cell protein production
  10. Biogas upgrading with hydrogenotrophic microorganisms
  11. Laboratory exercises and assignment
  12. Laboratory exercises and assignment

Learning Outcomes:

Upon successful completion of this course, students will:

  1. Know the basic principles of the operation of bioreactors.
  2. Be able to choose the correct type of bioreactor and will be able to operate it.
  3. Have acquired the skills to use gas chromatographs and bioreactors and will be able to identify and solve common problems that arise when using agricultural waste in bioreactors.

Evaluation methods

50% written exams 50% individual project assignment (a set of exercises)

Written Exam with Short Answer Questions (Formative, Summative)

Written Exam with Extended Answer Questions (Formative, Summative)

Performance / Staging (Formative, Summative)

Report (Formative, Summative)

Labortatory Assignment (Formative, Summative)

Selected bibliography

Microbiological Handbook for Biogas Plants Swedish Waste Management U2009:03 Swedish Gas Centre Report 207,

Xu N, Liu S, Xin F, Zhou J, Jia H, Xu J, Jiang M and Dong W (2019) Biomethane Production From Lignocellulose: Biomass Recalcitrance and Its Impacts on Anaerobic Digestion. Front. Bioeng. Biotechnol. 7:191. doi: 10.3389/fbioe.2019.00191

Pratima Bajpai: Single Cell Protein Production from Lignocellulosic BiomassSpringer Nature Singapore Pte Ltd

Dinesh K. Maheshwari, Composting for Sustainable Agriculture, Springer Cham Heidelberg New York Dordrecht London

  1. Insam et al. (2015). Manure-based biogas fermentation residues – Friend or foe of soil fertility? Soil Biol Biochem. https://doi.org/10.1016/j.soilbio.2015.02.006

 

Design of Renewable Energy Systems in Agriculture (7 ECTS)

Instructors: Thomas Kotsopoulos

Course description:

Energy and environment – climate change, European Union policies to promote the penetration of RES, Emissions Trading system, Agriculture as an energy consumer, Renewable energy incorporation in agriculture, passive solar systems – bioclimatic design of agricultural structures, geothermal utilization systems in agricultural facilities, energy crops and production of pellets, Agrivoltaic systems, combined heat and power systems by using biogas, biofuels production, biorefineries.

Course modules

  1. Energy and environment – climate change,
  2. European Union policies to promote the penetration of RES
  3. Emissions Trading system
  4. Agriculture as an energy consumer
  5. Renewable energy incorporation in agriculture
  6. Passive solar systems
  7. Bioclimatic design of agricultural structures
  8. Geothermal utilization systems in agricultural facilities
  9. Energy crops and production of pellets
  10. Agrivoltaic systems
  11. Combined heat and power systems by using biogas
  12. Biofuels production
  13. Biorefineries.

Learning Outcomes:

  1. Advanced knowledge regarding the energy needs of agricultural systems
  2. Advanced knowledge in passive solar systems, in the use of geothermal in agricultural facilities, in the use and operation of Photovoltaics to cover energy needs, in the utilization of heat pumps in combination with shallow geothermal in agricultural constructions
  3. Critical thinking οn the design of renewable energy systems (hybrid and not) to meet the energy needs of agricultural systems (heating, ventilation, product drying, water evaporation cooling system).

Evaluation methods

35% individual study, 65% study presentation and oral examination

Written Assignment (Formative, Summative)

Oral Exams (Formative, Summative)

Performance / Staging (Formative, Summative

Selected bibliography

 

Big Data processing – Ιnternet of Τhings (IoT) (7 ECTS)

Instructors:         Vasileios Fragkos, Xanthoula irini Pantazi, Evangelos Anastasiou

Course description:

Introduction to IoT, General characteristics of IoT (devices, gateways, cloud, applications), Management of Information Systems in Precision Agriculture, IoT Applications, IoT Protocols, Topology & Network Structures for IoT devices, Introduction to Radio Frequency Identification Systems, (RFID)), Applications of RFID Systems, Introduction of Blockchain Technology in IoT Applications, Blockchain Structure, Blockchain Applications, Big Data and Analytics, Introduction to Intelligent Decision Support Systems (DSS), IoT Integration Techniques in DSS, DSS Applications

Course modules

  1. Introduction to IoT
  2. General characteristics of IoT (devices, gateways, cloud, applications)
  3. Management of Information Systems in Precision Agriculture
  4. IoT Applications
  5. IoT Protocols
  6. Topology & Network Structures for IoT devices
  7. Introduction to Radio Frequency Identification Systems, (RFID),
  8. Applications of RFID Systems, Introduction of Blockchain Technology in IoT Applications,
  9. Blockchain Structure
  10. Blockchain Applications
  11. Big Data and Analytics
  12. Introduction to Intelligent Decision Support Systems (DSS)
  13. IoT Integration Techniques in DSS, DSS Applications

Learning Outcomes:

Understands the architecture and basic characteristics of IoT systems that process large volumes of data as well as their -Understand the requirements based on their architecture.

By the end of the course the students are expected to:

-Recognise advanced techniques and tools for processing large volumes of data applied to IoT applications.

-Understand the interactions between IoT devices, as well as between devices within the cloud environment

-Uses his knowledge to analyze, compare and propose alternatives regarding specific applications and their potential performance problems.

Evaluation methods

The students will be graded based on their performance in the final essay.

Written Assignment (Formative)

Selected bibliography

 

 

Simulation and Modeling of Biosystems (7 ECTS)

Instructors:         Vasileios Fragkos, Evangelos Anastasiou

Course description:

Experimental modeling : Laboratory experiments – dimensional analysis and similarity criteria – wind tunnel testing. Numerical modeling: Mathematical modeling process – the main elements of simulation-analysis and types of models- mathematical description of models – numerical solution of models. Experimental and computer simulation of real agricultural systems (soil-water-air-greenhouses-livestock buildings- biomass).

Course modules

  1. Experimental modeling : Laboratory experiments
  2. Dimensional analysis and similarity criteria
  3. Wind tunnel testing.
  4. Numerical modeling: Mathematical modeling process
  5. The main elements of simulation
  6. Analysis and types of models
  7. Mathematical description of models
  8. Numerical solution of models.
  9. Experimental and computer simulation of real agricultural systems (soil).
  10. Experimental and computer simulation of real agricultural systems (water-air).
  11. Experimental and computer simulation of real agricultural systems (greenhouses)
  12. Experimental and computer simulation of real agricultural systems (livestock buildings)
  13. Experimental and computer simulation of real agricultural systems (Biomass).

 

Learning Outcomes:

Upon completion of this course, the students will learn to design a laboratory experiment and to analyze and simulate a biosystem in a mathematical way. Therefore, the students will use either a programming environment to understand the modeling process by means of simple examples, as well as using more specific simulation software in examples of higher complexity

Evaluation methods

50% Written exams 50% Written assignment

Written Exam with Multiple Choice Questions (Formative, Summative)

Written Exam with Short Answer Questions (Formative, Summative)

Written Assignment (Formative, Summative)

Written Exam with Problem Solving (Formative, Summative)

Selected bibliography

 

Artificial Intelligence – Robotics (7 ECTS)

Instructors:         Xanthoula irini Pantazi

Course description:

Basic Concepts of Artificial Intelligence, Introduction to Machine Learning, Introduction to Algorithms and Types of Machine Learning, Introduction to Artificial Neural Networks (ANNs), Introduction to MultiLayer Perpepctron network (MLP), Machine Lerning Algorithms Techniques for Training, Introduction to Training rules, Backpropagation training algorithm, RBF networks, Support Vector Machines (SVMs), Introduction to data mining, Introduction to RBFs, Introduction to Self-Organizing networks, Data Fusion, Introduction to Deep Learning techniques, Convolutional Neural Networks (CNNs) Applications of Machine Learning Techniques and ΑΝΝs (computer vision, robotics)

Course modules

  1. Basic Concepts of Artificial Intelligence, Introduction to Machine Learning
  2. Introduction to Algorithms and Types of Machine Learning
  3. Introduction to Artificial Neural Networks (ANNs)
  4. Introduction to MultiLayer Perpepctron network (MLP)
  5. Machine Learning Algorithms Techniques for Training
  6. Introduction to Training rules. Backpropagation training algorithm
  7. RBF networks. Support Vector Machines (SVMs)
  8. Introduction to data mining
  9. Introduction to RBFs
  10. Introduction to Self-Organizing networks
  11. Data Fusion
  12. Introduction to Deep Learning techniques
  13. Convolutional Neural Networks (CNNs) Applications of Machine Learning Techniques and ΑΝΝs (computer vision, robotics)

Learning Outcomes:

By the end of the course the students are expected to:

  1. Fully understand the most well-known artificial intelligence algorithms.
  2. Gain familiarized with data pre-processing techniques.
  3. Interpret and analyze the results and the performances of artificial intelligence algorithms.
  4. Employ the most suitable algorithms and adopt the relative methodologies based on the nature of the problem, automating the solution procedure.
  5. Understand the complexity of various solutions applied in the agricultural domain.

Evaluation methods

During the semester two assignments on state-of-the-art classification or clustering problems will be provided, to be conducted. The final course grade is related to the performance of students in both two online assignments. The average grade in the two assignments will form the final grade.

Written Assignment (Formative)

Labortatory Assignment (Formative)

Selected bibliography

 

 

 

 

  1. TEACHING STAFF AND FACULTY MEMBERS

 

Alexandridis Thomas, Professor

Studies: BSc in Agronomy (AUTH 1995) MSc in Applied Remote Sensing (Cranfield University 1996) PhD in Geoinformatics (AUTH 2003)

Research interests: – Digital image processing techniques and geographic analysis of spatial data for mapping land cover and its temporal changes. – Quantitative remote sensing: estimation of evapotranspiration, soil moisture, green biomass, leaf area index. – Monitoring of agricultural resources: mapping agricultural crops, agricultural water use, digital soil mapping, mapping aquacultures. – Monitoring the environmental impacts of agriculture: modeling soil erosion, mapping the degradation of downstream wetlands and aquatic vegetation, monitoring water quality of downstream water bodies.

Courses: – Remote sensing and GIS – Mapping and assessment of agricultural soils and lands – Geoinformatics – Bioinformatics – Mapping with photo-interpretation and GIS

 

Anastasiou Evangelos, Assistant Professor

Studies: 2003-2008. B.Sc. in Agriculture from Aristotle University of Thessaloniki (Greece). 2012-2014. MSc In Agricultural Engineering from University of Thessaly (Greece). 2015-2020. PhD in Precision Agriculture from Agricultural University of Athens (Greece).

Research Interests: Engines in agriculture; Agricultural machinery and new technologies in agriculture; Development of decision support systems; Human-machine interaction in agro-technology; Circular economy; Life cycle analysis

Courses: A. Undergraduate courses: Farm Power and Machinery, Drying and Storage of Agricultural Products, Mechanical Harvesting of Agricultural Products, Electric Motors and Pumps, Farm Machinery Management, B. Postgraduate courses: Controlled Environment Systems, Big Data processing – Ιnternet of Τhings (IoT), Simulation and Modeling of Biosystems

 

Fotidis Ioannis, Assistant Professor

Studies: BSc in Agriculture (2004), Postgraduate Diploma, MSc (2008), Doctoral Diploma, PhD (2011)

Research interests: Renewable forms of energy in agriculture-management of liquids and solid agricultural waste-completed processes of exploitation of agro-industrial waste-biofuel production-Sustainable Bioprocesses-Development of Technologies to Treat Emergency and Responses

Course Teaching: Undergraduate Courses: N053E Rural Constructions, N202Y Greenhouses, N208th Alternative Energy Sources in Georgia, N227E Management of Rural Wastewater, N226E Equipment of Livestock Units, N238E Mechanical Harvesting of Agricultural Products. Postgraduate courses: NDEP117 Utilizing agricultural waste and by-products with the use of biotechnology, NDEP118 Design of Renewable Energy Sources, NDEP101 Controlled Environment Systems.

 

Fragos Vassilios, Professor

Studies: B.Sc. in Agriculture, M.Sc., Ph.D.

Research interests: Computational fluid mechanics, Simulation of laminar and turbulent air flows in wind tunnel, Thermodynamics, Pump systems, Pump cavitation, Air pumps and Internal and external environment of agricultural structures.

Courses: : Undergraduate Courses: Mathematics, Mechanical Harvesting of Farm Crops, Electric Motors and Pumps, Farm Mechanization, Farm Machinery Management, Greenhouses. Postgraduate Courses: Controlled Environment Systems, Biosystem modelling and simulation.

 

Georgiou Pantazis, Professor

Studies: B.Sc. in Agriculture, M.Sc., Ph.D.

Research interests: Irrigation, Crop water requirements and irrigation scheduling, Precision irrigation, Crop yield response to water, Design and operation of irrigation reservoirs, Water resources management, Climate change, Droughts.

Courses: (A) Undergraduate Courses: Agricultural Hydraulics, Meteorology and Climatology, Irrigation Principles and Crop Water Requirements, Water Resources Management, Agrotechnical and Environmental Studies, Pipe Flow and Open Channels Hydraulics, Mathematics, Design and Management of Land Reclamation Works (B) Postgraduate Courses:Water Resources Management, Hydroinformatics, Surface and Groundwater Hydrology, Irrigation and Drainage, Soil and Water Management (International MSc Program with RUDN-Russia).

 

Golia Evagellia, Professor

Studies: • Degree in Chemistry, Aristotle University of Thessaloniki, Greece (1991). • Degree in Agriculture, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Greece (2008). • MSc in Quality Assurance, Greek Open University, Greece (2006). • PhD in Soil Science, Department of Agriculture, Crop Production and Rural Environment, University of Thessaly. • Postdoctoral Research between the SZENT ISTVAN University, Hungary and the Department of Agriculture Crop Production and Rural Environment, School of Agricultural Sciences, University of Thessaly, Greece.

Research interests: Soil Science, Soil chemistry, Soil pollution with potentially toxic elements & organic molecules, Reaction kinetics, Physicochemical behavior of the potentially toxic elements & trace elements in soil, Use of soil conditioners (inorganic & organic) in soils, Phytoremediation, Monitoring of soil pollution using Geographic Information Systems, Urban Soil Pollution, Use of Pollution Soil Indicators

Courses: graduate level: General & Inorganic Chemistry (N001Y), Organic Chemistry (N004Y), Soil Science (N017Y), Soil Fertility (N042E), Soil Chemistry (N206Y), Environmental Soil Chemistry (DEEP 111), Chemical Analysis of Soils, Waters and Plant Tissues, Training in Analytical Instruments and Laboratory Devices (DEEP 122)

 

Ipsilantis Ioannis. Professor

Studies: : BSc in Agronomy (AUTH 1995) MSc in Soil Microbiology (University of Kentucky) PhD in Soil Microbiology (University of Florida)

Research interests: Soil Microbiology, the rhizosphere, mycorrhizae, nitrogen fixation, PGPR, soil helth

Courses: Introductory Soils, Soil Microbiology, Soil Fertility, Plant-Soil Relationships, Soil management-microbiome interaction, Valorization of Agricultural Waste and By-products with the Use of Biotechnology, Soil and Water Management (International MSc Program with RUDN-Russia).

 

Karpouzos Dimitris, Professor

Studies: Dipl. – Dr. Civil Engineer, AUTh

Research interests: Water Resources and Irrigation Systems Management, Optimization of irrigation networks, Simulation and optimization models in Surface and Groundwater Hydrology, Simulation of Preferential flow, Climate Change- Drought analysis,

Courses: Undergraduate Courses: Numerical Analysis and Optimization methods, Groundwater Hydraulics, Mathematics, Irrigation Systems, Computer Programming, Drainage and Groundwater Hydrology Postgraduate Courses: Water Resources Management, Hydroinformatics, Surface and Groundwater Hydrology, Irrigation and Drainage, Soil and Water Management (International MSc Program with RUDN-Russia).

 

Kotsopoulos Thomas, Professor

Studies: Bachelor Degree in Agriculture, Diploma in Civil Engineering, MSc in Agricultural Engineering, Ph.D in Agricultural Engineering

Research interests: Animal waste management. Use of animal wastes to produce biogas and biohydrogen. Production of biofuels. Use of geothermal energy for heating purposes in agriculture. Energy saving in Agriculture. Anaerobic degradation of organic waste. Agricultural Structures (livestock buildings etc.)

Courses: Agricultural Structures, Alternative energy sources in agriculture, Livestock mechanization, Agricultural waste management, Energy Management in Agriculture, Design of Agricultural Structures & Greenhouses, Waste management – protection of the environment, Exploitation of Alternative Energy Sources in Agriculture, Agrotechnical and Environmental Studies

 

Matsi Theodora, Professor

Studies: Undergraduate Degree in Chemistry, Chemistry Department, AUTh, 1985 Postgraduate PhD in Soil Science, Faculty of Agriculture, AUTh, 1997

Research interests: Use of industrial by-products as soil amendments Use of organic wastes as soil amendments Forms and distribution of heavy metals in soils The essential micronutrients boron and nickel in soils

Courses: Undergraduate Soil Science, Soil Fertility, Soil Chemistry, Instrumental Chemical Analysis Postgraduate Advanced Soil Chemistry, Chemical Analysis of Soils, Waters and Plant Tissues

 

Panagopoulos Ioannis, Assistant Professor

Studies: B.Sc. in Agricultural Engineering, M.Sc., Ph.D. Water Resources

Research interests: Hydrology. Water monitoring, water quality and pollution. Hydrologic and water quality simulation. Nitrogen and Phosphorus cycles. Agricultural practices and crop production. Watershed modeling. River basin management. Water resources management-WFD 2000/60. Optimization.

Courses: Α. Undergraduate courses: Water Resources Quality, Pollution and Protection, Pipe flow and Open Channel Hydraulics, Design and Management of Land Improvement Works, Hydrology of Unsaturated Zone of Soil, Applied Mathematics. Β. Postgraduate courses: Water Quality and Environmental Protection, Plant-Soil Relationships.

 

Pantazi Xanthoula-Eirini, Associate Professor

Studies: BS in Agriculture, MSc (2013), PhD (2016)

Research interests: Artificial intelligence – data mining- knowledge discovery in data-base, Precision agriculture, Biosystems engineering, Automations, Sensors, Determination of post-harvest quality of agricultural products

Courses: Principles of Automation in Agriculture, Drying and Storage of Agricultural Products, Mechanical Harvesting of Agricultural Products, Electric Motors and Pumps, Farm Machinery Management, Mechanical Harvesting of Farm Crops, Precision Agriculture-Saving Resources, Artificial Intelligence-Robotics, Controlled Environment Systems, Big Data processing – Ιnternet of Τhings (IoT)

 

Zalidis George, Professor Emeritus

Studies: 1975-1980. B.Sc. in Agriculture from Aristotle University of Thessaloniki (GREECE). 1982-1987. Ph.D. in Soil Physics from Michigan state University (USA). 1987-1988. Post doctoral studies in Environmental Engineering at Michigan State University (USA)

Research interests: • Soil pollution • Soil quality and sustainability • Bioremediation of degraded areas • Restoration and rehabilitation of wetland ecosystems • Wetland inventory and mapping • Water monitoring and assessment

Courses: Geology – Petrography, Remote Sensing and Geographic Information Systems, Quality – pollution and protection of water resources, Problematic soils, Quality – pollution and restoration of soil ecosystems, Mapping and evaluation of agricultural soils and land Post-graduate classes Degradation – desertification and protection of soil resources, Pollution and restoration of soil resources, Quality of soil resources, Management of soil resources, Advanced remote sensing, Advanced geographic information systems