Choose your course

For managers

The course “Digital Agriculture: Data Interoperability Principles to Support Business Planning” aims to equip SME managers and owners with the knowledge and skills necessary to integrate location data interoperability into their business operations, specifically within the digital agriculture sector.

By the end of the course, participants will gain a comprehensive understanding of EU data policies, including the regulatory framework, ethics, and other legal aspects pertinent to digital agriculture.

They will be proficient in leveraging location data to enhance their agricultural practices, ensuring compliance with EU regulations, and utilizing emerging technologies such as Remote Sensing, IoT, and Artificial Intelligence for improved business outcomes.

More information

The course is made up of 4 lectures with different durations. At the end of each lecture, a few quizzes are provided to participants, to support their learning process and help consolidate the Learning Objectives associated with that lecture. An exercise with the tutor is foreseen at the end of the course. Achievement of learning outcomes defined at the course level will be assessed using a written examination.

  1. Introduction to Data Interoperability in Digital Agriculture (30 min)
  2. Policy Instruments for Digital Agriculture (50 min)
  3. Technologies for Digital Agriculture (40 min)
  4. Practical Exercise (180 min)

The course duration is 5 hours.

  • Understand the principles of digital agriculture and the crucial role of location data interoperability, including its impact on business operations and decision-making processes.
  • Examine how to ensure compliance with relevant EU regulations and standards governing agricultural practices and digital transformation.
  • Recognise the importance of key technologies to improve SMEs’ business planning in digital agriculture.

PowerPoint presentations, video recordings, quizzes, material for the final exercise.

Participants must have completed the “Introduction to Data Interoperability” course for managers, which provides a foundational understanding of data interoperability concepts and principles.

All the training material is produced by GAUDEAMUS and is licensed under a Creative Commons Attribution 4.0 International license.

Issuing of microcredentials is planned and more details will follow.

For technicians

The course “Digital Agriculture: From Data Interoperability Principles to Practical Implementations” introduces technicians and job seekers to the technical concepts, challenges, and implications of location data interoperability within the digital agriculture sector.

Participants will examine interoperability solutions to address semantic and technical challenges for data integration and sharing. They will learn to use geographic information systems (GIS), data analytics, and visualization tools to integrate data from diverse sources, thereby enhancing agricultural monitoring, predicting natural phenomena, and optimizing agricultural processes.

Additionally, the course will demonstrate the use of emerging technologies, such as artificial intelligence (AI), remote sensing, and the Internet of Things (IoT), to support applications in agriculture.

More information

The course is made up of 6 lectures with different durations. At the end of each lecture, a few quizzes are provided to participants, to support their learning process and help consolidate the Learning Objectives associated with that lecture.

At the end of the course, an exercise with the tutor is foreseen. Achievement of learning outcomes defined at the course level will be assessed using a written examination.

  1. Introduction to Data Interoperability in Digital Agriculture (20 min)
  2. Policy Instruments for Digital Agriculture (20 min)
  3. Tools for Data Processing and Analysis (90 min)
  4. Emerging Technologies for Digital Agriculture (90 min)
  5. Semantic and Technical Interoperability for Digital Agriculture (80 min)
  6. Practical Exercise (360 min)

The course duration is 6 hours.

  • Examine interoperability solutions to address semantic and technical challenges for data integration and sharing in digital agriculture.
  • Use geographic information systems, data analytics, and visualization tools to integrate data from diverse sources, thereby enhancing agricultural monitoring, predicting natural phenomena, and optimizing agricultural processes.
  • Demonstrate the use of emerging technologies (artificial intelligence, remote sensing, internet of things) to support applications in agriculture.

PowerPoint presentations, video recordings, quizzes, material for the final exercise.

Participants must have completed the “Introduction to Data Interoperability” course for technicians, which provides a foundational understanding of data interoperability concepts and principles.

All the training material is produced by GAUDEAMUS and is licensed under a Creative Commons Attribution 4.0 International license.

Issuing of microcredentials is planned and more details will follow.

For managers

The course “Digital Agriculture: Data Interoperability Principles to Support Business Planning” aims to equip SME managers and owners with the knowledge and skills necessary to integrate location data interoperability into their business operations, specifically within the digital agriculture sector.

By the end of the course, participants will gain a comprehensive understanding of EU data policies, including the regulatory framework, ethics, and other legal aspects pertinent to digital agriculture.

They will be proficient in leveraging location data to enhance their agricultural practices, ensuring compliance with EU regulations, and utilizing emerging technologies such as Remote Sensing, IoT, and Artificial Intelligence for improved business outcomes.

More information

The course is made up of 4 lectures with different durations. At the end of each lecture, a few quizzes are provided to participants, to support their learning process and help consolidate the Learning Objectives associated with that lecture. An exercise with the tutor is foreseen at the end of the course. Achievement of learning outcomes defined at the course level will be assessed using a written examination.

  1. Introduction to Data Interoperability in Digital Agriculture (30 min)
  2. Policy Instruments for Digital Agriculture (50 min)
  3. Technologies for Digital Agriculture (40 min)
  4. Practical Exercise (180 min)

The course duration is 5 hours.

  • Understand the principles of digital agriculture and the crucial role of location data interoperability, including its impact on business operations and decision-making processes.
  • Examine how to ensure compliance with relevant EU regulations and standards governing agricultural practices and digital transformation.
  • Recognise the importance of key technologies to improve SMEs’ business planning in digital agriculture.

PowerPoint presentations, video recordings, quizzes, material for the final exercise.

Participants must have completed the “Introduction to Data Interoperability” course for managers, which provides a foundational understanding of data interoperability concepts and principles.

All the training material is produced by GAUDEAMUS and is licensed under a Creative Commons Attribution 4.0 International license.

Issuing of microcredentials is planned and more details will follow.

For technicians

The course “Digital Agriculture: From Data Interoperability Principles to Practical Implementations” introduces technicians and job seekers to the technical concepts, challenges, and implications of location data interoperability within the digital agriculture sector.

Participants will examine interoperability solutions to address semantic and technical challenges for data integration and sharing. They will learn to use geographic information systems (GIS), data analytics, and visualization tools to integrate data from diverse sources, thereby enhancing agricultural monitoring, predicting natural phenomena, and optimizing agricultural processes.

Additionally, the course will demonstrate the use of emerging technologies, such as artificial intelligence (AI), remote sensing, and the Internet of Things (IoT), to support applications in agriculture.

More information

The course is made up of 6 lectures with different durations. At the end of each lecture, a few quizzes are provided to participants, to support their learning process and help consolidate the Learning Objectives associated with that lecture.

At the end of the course, an exercise with the tutor is foreseen. Achievement of learning outcomes defined at the course level will be assessed using a written examination.

  1. Introduction to Data Interoperability in Digital Agriculture (20 min)
  2. Policy Instruments for Digital Agriculture (20 min)
  3. Tools for Data Processing and Analysis (90 min)
  4. Emerging Technologies for Digital Agriculture (90 min)
  5. Semantic and Technical Interoperability for Digital Agriculture (80 min)
  6. Practical Exercise (360 min)

The course duration is 6 hours.

  • Examine interoperability solutions to address semantic and technical challenges for data integration and sharing in digital agriculture.
  • Use geographic information systems, data analytics, and visualization tools to integrate data from diverse sources, thereby enhancing agricultural monitoring, predicting natural phenomena, and optimizing agricultural processes.
  • Demonstrate the use of emerging technologies (artificial intelligence, remote sensing, internet of things) to support applications in agriculture.

PowerPoint presentations, video recordings, quizzes, material for the final exercise.

Participants must have completed the “Introduction to Data Interoperability” course for technicians, which provides a foundational understanding of data interoperability concepts and principles.

All the training material is produced by GAUDEAMUS and is licensed under a Creative Commons Attribution 4.0 International license.

Issuing of microcredentials is planned and more details will follow.