Sathvik Vure

Multi-Scale Temporal Feature Decoupling for Climate-Robust Agricultural Machine Learning Models

Reliable yield prediction under changing climatic conditions continues to be a major bottleneck in precision agriculture because climatic variability directly influences crop productivity and food-security planning. Conventional machine learning models trained on raw meteorological time-series frequently conflate short...