Courses

Agricultural Information Systems

General

Course Contents

The course aims to enable students to describe modern information systems in agriculture, and to select the most appropriate ones based on the farm business needs. The aim of the course is for students to become familiar with the search, analysis and synthesis of data and information using ICT, to describe the terms information, information system, information system components, cycle, analysis of requirements in the agri-food sector, to understand the strategic importance and international trends in the development of information systems in the agricultural sector, to describe the required materials, software and applications of agri-food information systems, to describe computer networks in the agri-food sector and wireless networks, to describe the information model of an agricultural holding, to describe the analysis and design of information systems in the agricultural sector, to become familiar with the concepts of flow and exchange of information and with the modeling of goals, data and functions, to become familiar with the principles of operation and planning of integrated production systems (CIM) of agricultural and industrial units.
The course refers to procurement management systems in agriculture, market monitoring systems, decision support and decision-making systems in the agricultural sector – farm management applications, tools to increase productivity and disease control, weather forecasting applications, irrigation applications, computer equipment maintenance systems, agricultural accounting applications, animal capital monitoring applications, agricultural products marketing and promotion applications, geographic information systems and precision farming applications, information applications, communication and education in the agricultural sector, applications of Artificial Intelligence in agriculture, Internet of Things (IoT), Big Data analysis and information security issues in agriculture.

Educational Goals

• Understand the basic methods used in implementing information systems in the agricultural sector.

• Recognize the business role of information systems in agriculture as a tool to support and promote the business operation and management of both production units and related services.
• Design and evaluate information systems in the agricultural sector
• Recognize and understand the concept and necessity of information security in agriculture

General Skills

Retrieve, analyze and synthesize data and information, with the use of necessary technologies. Adapt to new situations. Decision making. Work autonomously. Teamwork. Working in an interdisciplinary environment. Promotefree, creative and inductivethinking.

Teaching Methods

face to face

Use of ICT means

Χρήση Τ.Π.Ε.: Παρουσιάσεις μέσω PowerPoint, Χρήση εξειδικευμένων λογισμικών

Teaching Organization

ActivitySemester workload
Lectures13
Laboratory Work26
Study and analysis of scientific papers and book chapters20
Autonomous study30
Συγγραφή εργασίας31
Total120

Students Evaluation

Ι. Εξέταση στο θεωρητικό μέρος του μαθήματος (Διαλέξεις) με ερωτήσεις πολλαπλής επιλογής και ερωτήσεις σύντομης απάντησης: 40%

ΙΙ. Εξέταση στις ασκήσεις πράξεις του μαθήματος, που περιλαμβάνει:
• Γραπτή εξέταση (35%)
• Ατομική γραπτή εργασία (25%).

Recommended Bibliography

1. Andreopoulou, Z., Manos, B., Viaggi, D. and Polman, N. (Editors) (2011). Agricultural and environmental Informatics, governance, and management: Emerging research applications. IGI Global. USA.
2. Antle, J.M., Jones, J.W., Rosenzweig, C. (2017). Next generation agricultural system models and knowledge products: synthesis and strategy. Agric. Syst. 155: 179–85.
3. Aung, M.M., Chang, Y,S. (2014). Traceability in a food supply chain: safety and quality perspectives. FoodControl 39: 172–84.
4. Bajardi, P., A. Barrat, L. Savini and V. Colizza (2012). Optimizing surveillance for livestock disease spreading through animal movements. Journal of the Royal Society Interface 9 (76) pp. 2814– 2825.
5. Bogaardt, M.J., K.J. Poppe, V. Viool and E. van Zuidam (2016.) Cybersecurity in the agrifood sector. Capgemini Consulting. Vol. 12.
6. Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K. and Ellis, K. (2017). IoT in Agriculture: Designing a Europe-Wide Large-Scale Pilot, IEEE Communications Magazine, vol. 55, no. 9, pp. 26-33.
7. Bronson K, Knezevic I. (2016). Big Data in food and agriculture. BigDataSoc. 3(1). https://doi.org/10.1177/2053951716648174.
8. Chi H, Welch S, Vasserman E, Kalaimannan E. (2017). A framework of cybersecurity approaches in precision agriculture. In Proceedings of the ICMLG2017 5th International Conference on Management Leadership and Governance, pp. 90–95. Reading, UK: Acad. Conf. Publ. Int.
9. de Beer, J. (2016). Ownership of open data: Governance options for agriculture and nutrition. GODAN summit. (New York City: Global Open Data for Agriculture & Nutrition [GODAN]).
10. Hori, M., Kawashima, E. and Yamazaki, T. (2010). Application of cloud computing to agriculture and prospects in other fields. FujitsuScience and Technology Journal, 46(4): 446–454.
11. Stočes, M., Vaněk, J., Masner, J. and Pavlík, J. (2016). Internet of Things (IoT) in Agriculture – Selected Aspects, AGRIS on-line Papers in Economics and Informatics, Vol. 8, No. 1, pp. 83 – 88. DOI: 10.7160/aol.2016.080108.
12. LOGNELY P.A. – GOODCHILD, M.F, MAGUIRE, D.J, RHIND, D.W. (2010). Συστήματα και επιστήμη γεωγραφικών πληροφοριών (2η έκδοση). Αθήνα: ΚΛΕΙΔΑΡΙΘΜΟΣ.
13. Κουτσόπουλος, Κ. (2017). Γεωγραφικά συστήματα πληροφοριών και ανάλυση χώρου. Αθήνα: Εκδόσεις Δίσιγμα.
14. Συλλαίος, Ν. (2000). Εισαγωγή στην τηλεπισκόπηση και στα γεωγραφικά συστήματα πληροφοριών. Θεσσαλονίκη: Εκδόσεις Γιαχούδη.
15. Κίνγκ, Ρ. (2003). Βιομηχανική Πληροφορική. Θεσσαλονίκη: Εκδόσεις Τζιόλα.
16. Χασάπης, Γ. (2001). Αρχιτεκτονική και Προγραμματισμός Συστημάτων Βιομηχανικού Ελέγχου. Θεσσαλονίκη: Εκδόσεις ΖΗΤΗ.