Ledyvia Audiz Coranov

A Modular Agroclimatic Feature Engineering Framework for Country-Level Crop Yield Prediction Using XGBoost and LightGBM

This framework provides a reliable benchmark for leakage-controlled agricultural machine learning research rather than direct farm-level operational forecasting and demonstrates that engineered agroclimatic features can significantly improve country-level crop yield prediction, but model performance depends strongly on...