
Advancing AI in Agri-Food: Second Transnational Training in Murska Sobota, Slovenia
Building on the success of the first transnational training on AI in manufacturing, the second session in the series took place on March 11-12 in Murska Sobota, Slovenia. Experts, researchers, and professionals from across the sector convened to explore the transformative role of artificial intelligence in agriculture and food production.
The training provided a comprehensive overview of how AI technologies are reshaping modern agricultural practices. Key discussions focused on AI-driven soil analysis and precision irrigation, highlighting how advanced data analytics can optimize water use and improve soil health. Participants also examined the integration of machine learning and computer vision in crop monitoring and yield prediction, demonstrating how these technologies enhance productivity and sustainability. The role of IoT and big data in agriculture was another focal point, showcasing how real-time data analytics enable smarter decision-making. Additionally, a special session was dedicated to blockchain applications in food supply chains, with an in-depth look at the TRUSTFOOD initiative and its impact on transparency and traceability in agri-food systems.

Beyond theoretical discussions, the training included practical demonstrations and field visits, offering participants first-hand exposure to AI-powered agricultural innovations. At Zelena Tocka (Green Point), a short food supply chain initiative, attendees observed the use of robotic weeders in sustainable farming. Another visit to Kmetija Cigut (Farm Cigut) provided insights into precision agriculture, showcasing AI-driven decision-making in modern farming operations.
The success of this training was made possible through the generous support and expertise of ITC - Innovation Technology Cluster, with special thanks to Tomaž Zadravec, Tomaz Bokan, and Leon Abraham. Further appreciation goes to Green Point and Farm Cigut for facilitating the field visits and sharing their pioneering work in AI-driven agriculture.

This event not only deepened participants' understanding of AI applications in the agri-food sector but also fostered valuable discussions on the future of AI-powered farming. As the training series continues, these insights will play a crucial role in shaping sustainable and technologically advanced agricultural practices.

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