Non-destructive detection method for quickly detecting brown core of pear

Abstract

The invention discloses a rapid loss-free black-cored pear detecting method, which comprises the following steps: (1) selecting 3-5 detecting points of each detected pear randomly; measuring the surface colour value L*, a*,b* of each pear detecting point; calculating the Eab; (2) calculating the mean value of the obtained L*,a*,b* and Eab value through computer; (3) establishing the quality grade judgment equation set according to the L*,a*,b* and Eab value; calculating the highest mark equation to affirm the grade of detected pear.

Description

technical field [0001] The invention relates to a method for detecting the internal quality of fruits, in particular to a method utilizing L * a * b * Method for fast and nondestructive detection of black heart disease in Yali pear with colorimetric system. Background technique [0002] my country is the world's largest fruit producer, among which apples and pears are the most important varieties, but the annual export volume is very small. One of the important reasons restricting the export of fruits in my country is that the detection ability of domestic sorting is weak, the speed is slow, the test environment is poor, and the sorting of fruits cannot meet the requirements of the international market. The detection of Yali black heart disease is an important index to determine the intrinsic quality of Yali products. Yali black heart disease is a common fruit physiological disease during storage. When the disease occurs, light brown lesions first form in the Yali fruit ...

AI Technical Summary

Problems solved by technology

[0005] In our country, there are few researches on rapid and non-destructive detection of fruit internal quality, and this research is of great significance to the production, storage and export grading of fruits, especially pears.