S. Sharma

Explainable machine learning for crop recommendation using statistical validation and SHAP interpretability in South Asian agricultural data

Agricultural decision-support systems powered by machine learning (ML) have emerged as critical tools for enhancing crop productivity and food security, particularly for smallholder farmers in developing regions. However, many existing models lack methodological rigor, statistical validation, and interpretability—key r...