Online nondestructive testing method for internal and external quality of apples

Abstract

The invention relates to an online nondestructive testing method for internal and external quality of apples, wherein the method is applied to an online apple internal and external quality nondestructive testing system. The system comprises an apple external quality detection unit, an apple internal quality detection unit, a control and data processing unit and a fruit support. The control and data processing unit comprises an industrial personal computer. The apple external quality detection unit comprises an upper appearance detection unit and a lower appearance detection unit; the upper appearance detection unit, the apple internal quality detection unit and the lower appearance detection unit are sequentially fixed on fixing frames on the two sides of a conveying belt; the fruit support is arranged on the conveying belt and is used for placing apples; and the online apple internal and external quality nondestructive testing system is arranged in a black box. The apple diameter, coloring degree, surface defects, mildewed heart disease and sugar degree are detected by utilizing the machine vision and a visible light-near infrared transmission spectrum based on image processing, deep learning and spectral analysis technologies and thus the comprehensive, rapid and nondestructive detection theory and method for the internal and external quality of apples on a production line are realized.

Description

technical field [0001] The invention belongs to the technical field of agricultural product detection, and relates to a method for non-destructive detection of apple internal and external quality based on machine vision and visible / near-infrared spectrum, in particular to the detection method of apple fruit diameter, coloring degree, surface defect, sugar content and mold core disease. The results can be used as the basis for grading apples. Background technique [0002] my country is the world's largest apple production and consumption country. In recent years, with the improvement of people's living standards and the growth of apple production, especially fruit companies need to purchase a large number of apples for storage during the apple picking season. Due to the traditional manual grading method Apple's inspection method has the disadvantages of time-consuming, high cost, strong subjectivity, and inability to judge internal quality. The traditional manual grading metho...

AI Technical Summary

Problems solved by technology

[0002] my country is the world's largest apple production and consumption country. In recent years, with the improvement of people's living standards and the growth of apple production, especially fruit companies need to purchase a large number of apples for storage during the apple picking season. Due to the traditional manual grading method Apple's inspection method has the disadvantages of time-consuming, high cost, strong subjectivity, and inability to judge internal quality. The traditional manual grading method is increasingly unable to meet the requirements

In recent years, with the development of machine vision and spectrum technology, people have begun to use machine vision to detect the appearance of apples, and to detect the internal quality of apples according to the characteristics of the spectrum. It basically includes fruit diameter, coloring degree, surface defect, and sugar content, and the mold core detection function is not integrated into the device

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