Course description
For SME managers and owners:
This course 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.
For technicians and job seekers:
This course 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.