Machine learning-based in-season crop yield forecasting using climate, geographic, and satellite data

Pre-harvest yield forecasting models for winter wheat that combine agronomic, geographic, soil, and climatic data with machine learning and hyperspectral satellite imagery. Validated on 65,000 samples from German trials ...