HORIZON-CL6-2025-01-BIODIV-02-two-stage (Project Title: Enhancing multi-stress tolerance in berries plants)

We are developing an innovative production optimization system for orchard fruit (blackberry, raspberry, redcurrant and etc.) greenhouses by integrating image analytics, deep learning, and robotic (drone or rail system) technologies to enhance efficiency, quality, and sustainability. Our aim is to achieve early disease diagnosis, pest detection, fruit maturity level determination, and plant growth monitoring through continuous imaging. We intend to optimize processes such as irrigation, fertilization, and climate control using artificial intelligence algorithms based on the collected data. Furthermore, we plan to implement targeted interventions via robotic systems (e.g., spot spraying in areas with pest detection) and potentially provide support for harvesting operations. Our offered expertise includes image processing, deep learning, machine learning, and robotic systems integration.