Imran Ahmad

Performance assessment of linear regression for crop yield prediction in comparison with contemporary models

This study is the first to systematically benchmark linear regression against gradient boosting baselines (XGBoost, LightGBM) alongside random forest, support vector machine, and artificial neural network for Indian agricultural yield forecasting, demonstrating that interpretable models can match or outperform black-bo...