Nondestructive testing method and device for fruits

Abstract

The embodiment of the invention discloses a nondestructive testing method and device for fruits. The method comprises the steps of obtaining a first total diffuse reflection spectrum of a detected fruit, extracting a first diffuse reflection spectrum for predicting the content of fruit peel ingredients in fruit peel from the first total diffuse reflection spectrum, removing the first diffuse reflection spectrum from the first total diffuse reflection spectrum to obtain a second diffuse reflection spectrum; and extracting a third diffuse reflection spectrum for predicting the content of pulp ingredients in pulp from the second diffuse reflection spectrum. The first diffuse reflection spectrum is related to the fruit peel ingredients in the fruit peel and the third diffuse reflection spectrum is only related to the pulp ingredients in the pulp, so that the influence of the spectrum generated from the ingredients in the pulp is avoided through predicting the fruit peel ingredients in the fruit peel through the first diffuse reflection spectrum; and the influence of the spectrum generated from the ingredients in the fruit peel is also avoided through predicting the pulp ingredients in the pulp through the third diffuse reflection spectrum, thereby improving the accuracy of predicting the content of the ingredients in the fruit.

Description

technical field [0001] The invention relates to the technical field of fruit detection, in particular to a method and device for nondestructive detection of fruit. Background technique [0002] Hyperspectral imaging technology is an effective means of non-destructive detection of the internal quality of fruits, and has great application potential in the non-destructive detection of soluble solids, sugar, acid, vitamins and other internal quality content. At present, most of the research methods used for fruit detection are to use the full spectrum band or variable selection based on the full spectrum to select the characteristic bands related to the internal quality index of the fruit, and establish a prediction model for the internal quality of the fruit. However, the diffuse reflectance spectrum is a composite information carrier captured by the detector after the light penetrates the fruit peel and pulp. The absorption effect of the peel tissue on the spectrum is also in ...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is how to solve the problem that in the existing detection process of fruits, the information of the peel and the pulp interferes with each other and affects the accuracy of the detection results.

Images