Improving digital soil mapping for imbalanced classes through feature selection and resampling
Accurate classification of imbalanced soil data remains a key challenge in Digital Soil Mapping (DSM). We propose a two-step preprocessing strategy that integrates feature selection with resampling to enhance soil class prediction. Using 140 soil profiles from the Darab region (Iran), four feature selection methods (...