Abstract: Rapid and accurate identification of origin of Lycium barbarum is of great significance for regulating trading market of Lycium barbarum and promoting differentiation and branding strategy development of Lycium barbarum in different origins．Dried fruit of Ningqi No.7 from four producing areas in Ningxia and Xinjiang from 2018 to 2019 was used as research object．Research object was scanned and imaged using visible-near-infrared hyperspectral imaging system．HSV color space transformation and texture feature extraction on scanned images were performed．Least significant difference method was used to compare differences between different origins in combination with manually measured 100-grain weight, fruit shape index and other Lycium barbarum fruit shape parameters．Data were trained with classifier models such as Decision Tree, Random Forest, Support Vector Machine, and Multinomials Logistic Regression, an origin identification model was established, and research on origin identification technology of Lycium barbarum was conducted．Results showed that the 100-grain weight of Lycium barbarum in Xinjiang was significantly higher than that in Ningxia, fruit shape index in Ningxia was better than that in Xinjiang, and texture of Lycium barbarum in Ningxia was deeper and more complex, but color was darker．Among four types of Lycium barbarum origin identification models, Decision Tree model has the most stable performance, and identification accuracy was higher after fruit shape index was involved in modeling．