Prediction of Soil Organic Carbon Using Machine Learning Algorithm in Long-Term Ecological Monitoring Plots of Southern Dry Mixed Deciduous Forests, Telangana, India
This study evaluates five machine learning algorithms to predict soil organic carbon in Telangana's dry deciduous forests, identifying random forest as the most effective model and soil moisture as the most critical predictive variable.