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 develop biodegradable soil sensors for remote field analysis and provide farmers with AI-based decision support.
We have also proposed national projects for detecting biotic and abiotic stress factors in various crops and environments (open field, greenhouse, etc.) using robotics, hyperspectral imaging, and AI.
Smart farming, Early pest and disease detection, Integrated pest management, Hyperspectral imaging, Decision support systems, Soil sensors, Machine learning, Artificial intelligence, Federated learning, Generative AI, Embedded AI, Edge computing
We are seeking to join or establish a consortium that will address the early detection and sustainable management of crop pests and diseases (Topic 2.2.1-2026). Our areas of expertise include innovative soil sensing technologies, advanced plant health monitoring, and GenAI-driven decision support in agriculture.
We are looking for partners, especially from the Mediterranean Partner Countries, for projects in which we can advance our small, decomposable sensor nodes for soil monitoring, or our AI-based plant stress detection methods using hyperspectral imaging and integrate them with robotics or drones.
We are also interested in the implementation of interoperable, user-friendly digital GenAI tools for farmers and food producers.
We believe that these technological contributions could support the transformation of agri-food systems, making them more efficient, inclusive, resilient, and sustainable.
Other contributions related to sensors, AI, and digital innovation are also possible. This particularly includes projects that aim to improve sustainability, transparency, and competitiveness of Mediterranean agri-food value chains (Topic 2.3.1-2026). We believe that especially our expertise in Ambient IoT and Wireless Identification could be particularly helpful in this area.
