Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra

NIR-HIS combined with machine learning was used to predict the origin and composition of RPR. SNV-RR and SNV-SVM achieved high accuracy in predictions and identifications.