Identification of geographical origins of mutton in Ningxia based on the near infrared hyperspectral imaging technique

Near-infrared hyperspectral imaging system that was ranging from 900 nm to 1700 nm was used to collect near-infrared hyperspectral data of the sheep hind leg samples from three different habitats in Yinchuan,Guyuan and Yanchi of Ningxia province. The spectral normalization method was used to pre-treat the spectrum. The spectral data of the characteristic wavelengths extracted from the pretreatment were 17,40,121 respectively. Using SPA,CARS and UVE,and the discriminant model under the characteristic band was established by combining PLS-DA and KNN. The results showed that the KNN discriminant models were less effective. It was feasible to construct the PLS-DA discriminant model instead of the whole spectrum using the best characteristic of the characteristic wavelengths extracted by CARS. Compared with the model effect,CARS-PLS-DA was the optimal model,the correctness of the calibration set was 90.48%,and the correctness of the forecast set was 84.21%. It was proved that it was feasible to identify the mutton place of origin by near infrared spectroscopy.