Analysis and Study of Egg Quality Based on Hyperspectral Image Data of Different Forms of Egg Yolks

To provide appropriate methods and characteristics for egg quality detection and traceability, a new egg quality detection strategy, which is based on hyperspectral image data of different forms of egg yolks, is proposed in this paper. The new idea uses advanced hyperspectral imaging technology to obtain hyperspectral image data of raw yolks, boiled yolks and mixed yolks; obtain spectral characteristic data of different forms of egg yolks; build a relationship model among them; and analyze the egg quality. Through experimental testing and data analysis, good results were obtained, and this study also showed that the proposed method has a certain ability to predict the quality of eggs by using hyperspectral image data of different forms of egg yolks. This study provides new ideas and methods for the detection of egg quality and freshness. Therefore, the results of this paper have very important theoretical significance and application value.