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This LU aims to introduce and explore practices for using data science and precision technologies in agriculture. This unit starts with the basis of data science, applications and its role in industry and research. Learners will then explore the basis of precision technologies and its applications. In a more advanced stage, the leaners will have the opportunity to understand how to install, connect and maintain sensors and other monitoring devices and how to extract and analyse the data provided by these systems.

This LU aims at providing students with a general understanding of the applications of digital technologies. and modern tools in agriculture, equipping them with the understanding to monitor, manage and make informed decisions to improve productivity and sustainability in farming.

This LU aims to develop an overview of the automation technologies in the agriculture sector. An overall course that contains knowledge and develops skills on automatic systems in agriculture and how these systems are used in different sector of agriculture. Also, this LU will provide important practical skills and competences through case studies in the fields. This is important as it equips learners with the knowledge to harness relevant technologies in agriculture enabling them to address challenges like precision farming, resource optimization, and crop health monitoring.

This LU aims to explore the best practices for using precision technologies and big data in farming. This unit starts with the fundamentals needed for data science, such as extracting, harmonizing, and storing data. In a more advanced stage, the application of artificial intelligence for different purposes will be explored, such as Remote Sensing and Predictions (finding diseases, harvest predictions, resource utilisation optimisation, etc.).

This LU covers fundamental concepts in remote sensing, including system components, with various elements such as, atmosphere, vegetation, soil, rocks, water, and cartography. It also explores image characteristics like structure, resolution, and processing techniques. Orbitals of satellites, sensors, and specific satellites such as Landsat, SPOT, IRS, and Envisat, along with applications in the fields of environment, agriculture, and forests also belong to the main aims.

This LU aims at providing students with a fundamental understanding of the applications of digital technologies and modern tools in agriculture, equipping them with the knowledge and skills to effectively monitor and manage relevant agricultural processes while improving productivity and sustainability in farming.

This LU aims to develop an overview of the automation technologies in the agriculture sector. An overall course that contains knowledge and develops skills on automatic systems in agriculture and how these systems are used in different sector of agriculture. Also, this LU will provide important practical skills and competences through case studies in the fields. Students will have the basic knowledge of the core technologies of agricultural automation.

Στόχος της παρούσας ΔΕ είναι να διερευνήσει τις βέλτιστες πρακτικές για τη χρήση των τεχνολογιών ακριβείας και των μέγα δεδομένων στη γεωργία. Η ενότητα αυτή ξεκινά με τις βασικές αρχές που απαιτούνται για την επιστήμη των δεδομένων, όπως η εξαγωγή, η εναρμόνιση και η αποθήκευση δεδομένων. Σε ένα πιο προχωρημένο στάδιο, θα διερευνηθεί η εφαρμογή της τεχνητής νοημοσύνης για διάφορους σκοπούς, όπως η τηλεπισκόπηση και οι προβλέψεις (εύρεση ασθενειών, προβλέψεις συγκομιδής, βελτιστοποίηση της χρήσης των πόρων κ.λπ.)

This LU aims at providing the students with the fundamental knowledge of remote sensing principles and their practical applications in agriculture and forestry, enabling them to utilize remote sensing techniques in monitorization and optimization practices.

Αυτή η ΔΕ αποσκοπεί στην παροχή μιας θεμελιώδους κατανόησης των εφαρμογών των ψηφιακών τεχνολογιών και των σύγχρονων εργαλείων στη γεωργία, εξοπλίζοντάς τους με τις γνώσεις και τις δεξιότητες για την αποτελεσματική παρακολούθηση και διαχείριση των σχετικών γεωργικών διαδικασιών, βελτιώνοντας παράλληλα την παραγωγικότητα και τη βιωσιμότητα της γεωργίας.