agriculture

A Phenology-Aligned Temporal Framework Improves Satellite-Based Field-Level Wheat Grain Protein Prediction

This study demonstrates that aligning multi-source remote sensing and environmental data to field-specific phenological stages, particularly using a 30-day post-peak window with peak-relative normalization, significantly improves the accuracy of satellite-based grain protein concentration prediction in winter wheat compared to traditional fixed-calendar approaches.