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vis-nir

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R implementation of a Vis-NIR soil spectroscopy workflow for predicting soil properties using Principal Component Regression (PCR), Partial Least Squares Regression (PLSR), Cubist, Random Forest (RF), Support Vector Regression (SVM), Memory-Based Learning (MBL), Artificial Neural Networks (ANN) and Extreme Gradient Boosting (XGBoost) algorithms

  • Updated Jul 20, 2026
  • R

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