Identifying Freshness of Shrimp Following Refrigeration Using Near-Infra red Hyperspectral Imaging

[...]the short shelf life of shrimp severely affects their sale and distribution (8). [...]it is especially essential to identify the shelf life of shrimp in an accurate and timely matter (9,10). In recent years, many researchers have introduced hyperspectral imaging techniques with low cost and nondestructive testing characteristics to inspect a variety of products. [...]it is extensively utilized in the area of freshness detection of food (17-19). According to this investigation, it is feasible to utilize hyperspectra imaging to accurately identify refrigerated storage days for shrimp. The specific steps are as follows: (a) opening the hyperspectral image corrected for reflectivity in ENVI 5.3 (ITT Visual Information Solutions); (b) selecting the entire area of each white shrimp as the region of interest (ROI); and (c) calculating the average reflectance for each wavelength of all pixels in the ROI, using them as spectral values of the sample; and then using Matlab2019a (The Math Works) to read the data, and to organize and add sample labels. Because various noise sources are introduced in the original hyperspectral data acquisition process, it is necessary to preprocess the original spectral data.