Agriculture Commons^™

Identification Of Fig Maturity Based On Near-Infrared Spectroscopy And Partial Least Square-Discriminant Analysis, Jing-Yu Zhou, Rui Sun, Duo Yu, Yu-Xuan Lv, Yan-Ling Han

Food and Machinery

In order to distinguish figs of different maturity accurately and quickly without damage, the samples of figs were collected by near-infrared spectroscopy, and K-means clustering was carried out for five indexes of fig sugar degree, single fruit weight, vertical diameter, horizontal diameter and hardness. According to the spectral data and the score chart of principal component analysis, the components of the optimal clustering effect and the index distribution of each category were determined. Based on the PLS-DA model, the cluster discrimination model was constructed to achieve the purpose of fruit maturity classification. Through the analysis of the differences of the …