Predicting Regional Water Stress in Indian Agriculture: A Gradient Boosting Framework with Spatial and Climatic Data
This study demonstrates that a Gradient Boosting model, utilizing geospatial and climatic data, significantly outperforms traditional machine learning approaches in accurately predicting regional water stress categories across Indian agriculture by effectively capturing complex relationships between diverse predictors.