{"id":130,"date":"2024-02-25T19:55:48","date_gmt":"2024-02-25T16:55:48","guid":{"rendered":"https:\/\/agriculture.upatras.gr\/en\/?page_id=130"},"modified":"2025-09-23T15:29:42","modified_gmt":"2025-09-23T12:29:42","slug":"8th-semester-elective-courses","status":"publish","type":"page","link":"https:\/\/agriculture.upatras.gr\/en\/8th-semester-elective-courses\/","title":{"rendered":"8th Semester Elective Courses"},"content":{"rendered":"\"el\"\/ el<\/a>\n\n\n
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AGRI_EE1 – Smart Agriculture <\/strong><\/span><\/i><\/i><\/span><\/span><\/div>
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Course Content<\/h2>\n
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Lectures<\/strong><\/h3>\n
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  1. Introduction to Smart Agriculture. Integrated approach to management of agricultural activity. Utilization of modern technologies. Digital transformation of the agricultural sector. Input control Modern digital Information and Communication Technologies and planned methods of data collection, processing, storage, and dissemination. Outdoor broadband.<\/li>\n
  2. Internet of Things (IoT) and Agriculture 4.0. Analysis of big data (BigData). The future of IoT: 5th Generation (5G) requirements, architecture, infrastructure, and applications. Automatic Control Systems, Digital technologies (ICT), and Process Configuration in greenhouse systems Integrated IoT-based greenhouse control robotic systems (cablebot \u2013 agbot)<\/li>\n
  3. Factors of production (soil\/climate, labor, capital \u2013 inputs, management). Agricultural productivity. Relationship between agriculture and environment in a sustainable way.<\/li>\n
  4. Automatic Control Systems and Process Regulation. New technologies in fertilization, irrigation, and crop protection. Data collection and analysis methods. Organization of data for analytical processing Greenhouse microclimate control and agricultural units Nutrition Control in Hydroponic Crops<\/li>\n
  5. Meteorological applications and data management Internet applications. Analysis, design, and architecture of web applications. Big Data, cloud computing and data centers. Key features of SDN networks. Artificial Intelligence Applications.  Input – output of energy. Reduced use of inputs that have a negative impact on the environment, to cover the objectives related to agriculture.<\/li>\n
  6. Spatio-temporal variation of the properties and characteristics of the soil, the crop, and other parameters of the plot of land<\/li>\n
  7. Principles and methods of precision agriculture management. Methods and applications of crop characteristic mapping.  Global Positioning System (GNSS) systems and accuracy.<\/li>\n
  8. Production mapping sensors.  Sensors for measuring soil and crop parameters.<\/li>\n
  9. Remote sensing applications to measure variability for agricultural applications  Surface modeling and spatial interpolation. Precision agriculture data analysis.  Application of variable input rates, and crop diversification.<\/li>\n
  10. Unmanned vehicles as sensor carriers for measuring variability in the field.  Applications of precision agriculture in Greece. The laboratory exercises aim to deepen and familiarize the students with the concepts and methodologies analyzed in the theoretical part. Particularly:<\/li>\n
  11. Use and applications of G.P.S.<\/li>\n
  12. Software applications in precision agriculture.<\/li>\n
  13. Analog map scanning and georeferencing – Import, process, and rendering of cartographic data. – Composition and production of thematic maps in a digital environment. – Applications in Precision Agriculture<\/li>\n<\/ol>\n
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    Detailed Course Outline<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n
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    AGRI_EE<\/strong><\/strong>2 – <\/strong>Irrigation and Drainage using Information and Communication Technology<\/span><\/i><\/i><\/span><\/span><\/div>
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    Course Content<\/h2>\n
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    Lectures<\/strong><\/h3>\n
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    1. Hydrological cycle – Water balance parameters.<\/li>\n
    2. Processes and mechanisms of irrigation water interaction with soil.<\/li>\n
    3. Principles of operation of measuring sensors: a) soil water parameters, b) irrigation water quantities, c) agrometeorological parameters<\/li>\n
    4. Data acquisition and recording systems.<\/li>\n
    5. Agrometeorological data management systems (Part \u0399).<\/li>\n
    6. Agrometeorological data management systems (Part \u0399\u0399).<\/li>\n
    7. Decision support systems for irrigation (Part \u0399).<\/li>\n
    8. Decision support systems for irrigation (Part \u0399\u0399).<\/li>\n
    9. Decision support systems for irrigation (Part \u0399\u0399\u0399).<\/li>\n
    10. Decision support systems for irrigation (Part \u0399V).<\/li>\n
    11. Implementation of software for the design of irrigation-drainage networks and irrigation planning (Part \u0399).<\/li>\n
    12. Implementation of software for the design of irrigation-drainage networks and irrigation planning (Part \u0399\u0399)<\/li>\n
    13. Implementation of software for the design of irrigation-drainage networks and irrigation planning (Part \u0399\u0399\u0399).<\/li>\n<\/ol>\n
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      Laboratory exercises<\/strong><\/h3>\n