The IMAGINE project (IMAGe analysis and artificial IntelligeNce to Empower agricultural systems) aims to advance agricultural research by integrating artificial intelligence (AI) with high-throughput imaging. Using computer vision, machine learning, and reinforcement learning, it develops domain-specific models for biodiversity assessment, bird deterrence, crop phenotyping, livestock behavior analysis and pest detection. Further, it aims to standardize data acquisition and processing and organize FAIR-compliant repositories for UAV-based imaging to ensure interoperability and reproducibility across Agroscope and beyond. The six interdisciplinary work packages combine multimodal imaging (RGB, LiDAR, thermal), deep learning approaches, and automated trait extraction workflows. By coupling AI innovation with agricultural expertise, IMAGINE delivers protocols, tools and models that enhance data accessibility, accelerate breeding, support sustainable crop protection, and establish novel animal welfare biomarkers. The project unites more than 10 teams and groups, multiple Agroscope sites, and European partners to build a technological ecosystem for data-driven agriculture.