The identification of egg varieties by near infrared hyperspectral imaging technology

In order to explore the feasibility of the near-infrared hyperspectral imaging technique of egg types,the samples were identified by near-infrared hyperspectral(900~1700 nm),among 223 egg samples,74 were selenium-enriched eggs,72 eggs were pollution-free eggs,77 of ordinary eggs for the study object. Selenium-enriched eggs and pollution-free eggs were the Hy-line brown eggs,and ordinary eggs were the organic eggs. Contrast Savitzky-Golay(SG)smoothing,Baseline,Standard Normal Variable(SNV),Normalize,preferred SG convolution smooth spectrum preprocessing method. The number of characteristic wavelengths extracted by Successive Projection Algorithm(SPA),Uninformative Variable Eliminatio(UVE),Backward interval PLS(BiPLS)was 8,107 and 155,respectively. PLS-DA discriminant models of full spectrum,SPA,UVE and BiPLS were established respectively,the results showed that the recognition performance of BiPLS-PLS-DA was better than the whole FS-PLS-DA,UVE-PLS-DA and SPA-PLS-DA in the four models,and the correct recognition rate was 95.24%,the prediction rate was 78.18%. Near-infrared hyperspectral imaging technology as a fast and efficient type of discrimination technology to determine the type of eggs is feasible.