1. SPARC-AI: Synthetic Procedural Agricultural Rendering and Annotation Framework for Crop Phenotyping and AI Applications

Between 20% and 40% of global agricultural production is lost annually to pests and diseases, generating economic damages estimated at over US$220 billion each year. This persistent challenge underscores the urgent need for scalable, precise, and cost-effective monitoring solutions. In this scenario, Artificial Intelligence (AI) based pathogen detection systems emerge as transformative tools, enabling high-resolution spatial and temporal monitoring of crop health. However, the performance... R. Freitas, V.S. Mello, G.D. Dallegrave, E. Farinati Leite, J.F. Valiati