[Using different data mining algorithms to predict soil organic matter based on visible-near infrared spectroscopy].

Compared to the commonly used linear model PLSR, the nonlinear model RF and SVM have comparable prediction accuracy, especially predictions by SVM using all Vis-NIR wavelengths produced the smallest RMSE values, which shows that the model constructed by S VM method has a good predictive ability.