From Image Series to Resilient Varieties: Transformer‐Based Canopy Cover Extraction and Weather‐Informed Nonlinear Modeling

Summary statement Green canopy cover dynamics extracted from high‐throughput RGB imagery via automated labeled segmentation enabled nonlinear modeling that accounted for short‐term weather variation, explaining up to 56% of protein yield variation in 150 soybean genotypes across 10 seasons and enabling prediction in new environments as well as identification of tolerant genotypes.