Machine Learning Applications in Soil Quality Assessment: Predictive Modeling of Heavy Metal Bioaccumulation

Abstract

Utilizing ensemble gradient boosting (XGBoost) and random forest classifiers on multi-spectral satellite imagery and ground soil samples to forecast cadmium and lead bioaccumulation indices in agricultural river basins.