Improving the geographical origin classification of Radix glycyrrhizae (licorice) through hyperspectral imaging assisted by U-Net fine structure recognition

Collecting hyperspectral data of licorice from different origins, processing the data in three methods, and using multiple classifiers for origin classification, the results showed that the U-Net method could effectively improve the accuracy of origin classification.