Identification of soybean variety by optical spectroscopy methods

The paper examines the possibility of using optical spectroscopy methods to identify soybean varieties. Using the methods of IR spectroscopy and UV-Vis-NIR spectroscopy, data matrices were obtained, preliminary processing of the spectra was carried out, and on their basis, classifi cation models were built for each method separately. According to the IR spectra data, the accuracy of the resulting classification model was 100%; according to the UV-Vis-NIR spectra, it was 97.22%. The results obtained can be eff ectively applied in the food and processing industries.