Identification of food products by methods of multivariate analysis of spectral data and hyperspectral images

Abstract

The possibility of identifying food products by methods of multivariate analysis of spectral data and hyperspectral images is demonstrated. The multivariate methods used to solve the problems of classifi cation and qualimetry of food products are analyzed. The use of spectral data and the principal component regression method to determine the mass fraction of milk fat in vegetable cream cheese spreads is shown. An analysis of hyperspectral images for sorting avocado fruits by the presence of defects was carried out.