Yield-graph: multi-stage growth-aware maize yield prediction via graph neural networks.

Abstract excerpt

KEY MESSAGE: Yield-Graph enables accurate maize yield prediction from incomplete multi-stage phenotypic and environmental data by modeling higher-order environment-trait interactions, with robust applicability across growth stages, regions, and crop species. Accurate yield prediction before maize harvest is crucial for advancing agricultural management and ensuring food security. Unlike conventional approaches...

Topics

• Zea mays
• Graph Neural Networks
• Phenotype
• Prediction Algorithms
• Models, Genetic