artificial intelligence, smart sensors, machine learning, embedded AI, edge computing, gen AI
Strengthening farmers’ involvement and empowerment in the transition towards agroecology
We are seeking to join a consortium under Topic 2, focusing on federated learning approaches for cross-site knowledge sharing and Generative AI for innovative farming decision support.
We are interested in projects that aim to co-design digital tools with farmers, foster peer learning, and evaluate next-generation advisory and DSS platforms for climate-smart farming.
Other contributions related to sensors and AI are also possible, of course.
At Fraunhofer IMS, we specialize in cutting-edge research and development, focusing on high-performance sensors and AI. Our goal is to apply this expertise to the agri-food sector at every stage, from farm to fork.
We have successfully secured funding for a GEH project in the 2nd call (FarmScan), in which we will enable remote field analysis via biodegradable soil sensors and provide farmers with AI-based decision support.