TreeD-Resist

AI-driven 3D phenotyping and modelling to predict immunity and resilience in agroecological orchards

TreeD-Resist schéma

The TreeD-RESIST project aims to revolutionize the design and management of agroecological orchards by leveraging cutting-edge AI-driven 3D phenotyping and modelling to quantify and predict immunity and resilience in fruit trees. Focusing on apple, apricot, citrus, and peach, the project addresses the critical challenge of developing sustainable perennial systems that balance productivity with ecological functionality. 

Traditional breeding and management practices, optimized for high-input systems, have left orchards vulnerable to climate change, biodiversity loss, and reduced chemical inputs. TreeD-RESIST seeks to overcome these limitations by integrating advanced technologies such as 3D imaging, IoT sensors, UAV mapping, and AI-based multimodal modelling to capture dynamic plant traits linked to stress responses and adaptive capacity. Expected outcomes include:

·         Novel indicators of agroecological immunity and resilience.

·         Digital tools for breeders and farmers to optimize variety selection and adaptive management.

·         Open-access datasets and ontologies to advance research in perennial crop sustainability.