Variations in Soil Texture Using Machine Learning Models Based on the Spectral Response of Soil Samples in the Visible-Near-Infrared (Vis-NIR) Region
Vimalashree, H., Sathish, A., Subbarayappa, C. T., Dharumarajan, S., Premanand B. Dashavant & Venkate Gowda, J. · International Journal of Environment and Climate Change · 2023
In this study, we systematically assessed the predictive performance of two machine learning models; Random Forest (RF) and Partial Least Squares Regression (PLSR), utilizing various pre-processing techniques for the determination of soil properties, including sand, silt and clay...
Open access
Research Article
10.9734/ijecc/2023/v13i113625