Identification of fumigated and dyedLycium barbarumby hyperspectral imaging technology

Abstract In view of the adulteration ofLycium barbarumwith chemicals and dyes in the market, hyperspectral imaging technology is proposed to identify fumigated and dyed specimens. The hyperspectral data were preprocessed by visual molecular dynamics (VMD) to reduce the influence of noise. Furthermore, competitive adaptive reweighted sampling (CARS) was used to select the characteristic bands from the preprocessed spectral data. Since the classification effect of the traditional support vector machine (SVM) model was influenced by the kernel parameters c and g, the slime mold algorithm was adopted to optimize SVM. The optimalcandgwere set to 93.3603 and 4.5652, respectively. The results showed that the VMD–CARS–SVM had higher prediction accuracy, and the accuracy of training and testing sets were 98.2 and 96.7% separately. Practical applications The aim of this article is to identify fumigated and dyedL. barbarumby hyperspectral imaging technology. After fumigation and dyeing, the type and contents of active ingredients in the surface and interior ofL. barbarumchanges, seriously affecting the health of consumers. The results of this article provide a valuable reference to develop a portable inspection device to identify the fumigated and dyedL. barbarumrapidly, precisely, and non‐destructively.