Stacking ensembles of PLS, SVR and Ridge regression on preprocessed NIR spectra achieve RPD greater than 2.0 for C and N prediction in Inceptisol and Oxisol soils using cross-validation and Kennard-Stone holdout.
Sharma, A study on data scaling methods for machine learning, Interna- tional Journal for Global Academic & Scientific Research 1 (2022) 31–42
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Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance
Stacking ensembles of PLS, SVR and Ridge regression on preprocessed NIR spectra achieve RPD greater than 2.0 for C and N prediction in Inceptisol and Oxisol soils using cross-validation and Kennard-Stone holdout.