Rapid and nondestructive detection of egg's haugh unit based on hyperspectral implantation

In this study,the hyperspectral(900~1700 nm)imaging technique combined with chemical statistical algorithms was used to study the non-destructive testing about egg's haugh unit.The original spectral information of the samples was collected and the PLSR model was established after S-G,MSC,SNV pretreatment to choose the best preprocessing method. The PLSR and PCR models were established,they based on the characteristic wavelengths screened by using the weighted β coefficients of PLSR and the genetic algorithm GA. To compare the models' effect and select the best extraction method of characteristic wavelength and modeling method. The results showed that the modeling effect were not improved after preprocessing. In other words,using the original spectrum as the modeling object,the PLSR model was optimized by using genetic algorithm to extract the characteristic wavelength,the R_C was 0.8118,RMSEC was 2.9677,R_P was 0.8203,RMSEP was 3.2762.It can be concluded that the use of hyperspectral techniques for nondestructive testing of eggs in haugh unit was feasible. At the same time,it provided a theoretical basis for the rapid identification and classification of fresh eggs.