Grape multiple-quality non-destructive detection method and grape multiple-quality non-destructive detection apparatus based on visible/near infrared spectrum

Abstract

The invention discloses a grape multiple-quality non-destructive detection method and a grape multiple-quality non-destructive detection apparatus based on visible / near infrared spectrum. The grape multiple-quality non-destructive detection method comprises: 1, collecting the background spectrum information and the whiteboard spectrum information of a training environment to form a matrix M, and collecting the spectrum information of a sample grape to form a matrix L; 2, collecting the quality information of the sample grape to form a matrix Q; 3, training a grape quality detection model by using the matrix L as input and using the matrix Q as output through an SVM algorithm; 4, collecting the background spectrum information and the whiteboard spectrum information of a detection environment to form a matrix M', collecting the spectrum matrix N of to-be-detected grape, and forming a correction matrix S based on M and M' through a PDS algorithm; and 5, correcting the spectrum N of the to-be-detected sample by using the matrix S to form N', and inputting N' into the grape quality detection model to obtain the quality detection information of the to-be-detected grape. According to thepresent invention, the accurate spectrum data can be obtained by correcting the error of the instrument so as to rapidly, accurately, non-destructively and simultaneously detect the multiple quality indexes of grapes.

Description

technical field [0001] The invention belongs to the technical field of fruit and vegetable detection, and in particular relates to a method and a device for automatic nondestructive detection of various qualities of grapes by using visible / near-infrared spectral information. Background technique [0002] The traditional internal quality inspection method of fruits and vegetables mainly uses sampling to conduct destructive tests. The detection cost is high, and different experiments are required to measure each parameter, which cannot meet the practical requirements of rapid grading and sorting of fruits and vegetables and quality index detection. At the same time, traditional quality inspection methods cannot complete multi-index simultaneous inspection, which is time-consuming and labor-intensive. At present, more and more non-destructive testing technologies are being applied to the detection of fruit and vegetable quality, among which near-infrared spectroscopy technology...

AI Technical Summary

Problems solved by technology

In the prior art, there is no method for correcting instrument errors under different measurement conditions and automatically detecting multiple quality indicators of grapes

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