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Non destruction detection method of apple internal quality

A non-destructive testing and internal quality technology, applied in computer parts, special data processing applications, instruments, etc., can solve problems such as slow speed, weak apple sorting detection ability, and unreachable sorting technology level, so as to avoid waste , reduce storage costs, and have significant economic benefits

Inactive Publication Date: 2009-01-07
CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

An important reason restricting the export of apples in my country is that the domestic ability to sort and detect apples is weak and the speed is slow, and the level of sorting technology cannot meet the requirements of the international market.

Method used

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  • Non destruction detection method of apple internal quality
  • Non destruction detection method of apple internal quality
  • Non destruction detection method of apple internal quality

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Experimental program
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Embodiment Construction

[0011] The detection method of the present invention will be described in detail below in conjunction with the examples.

[0012] 1. Obtain the approximate volume V of the complete apple z

[0013] 1. Pre-establish the regression equation between fruit diameter, fruit height and complete apple volume

[0014] (1) Collect 30-100 apple samples as a sample set, measure the maximum fruit diameter D and fruit height H of each apple with a caliper respectively;

[0015] (2) measure with drainage method, obtain the real volume V of each apple respectively;

[0016] (3) Establish the regression equation between fruit diameter D, fruit height H and apple true volume V according to the GLM (General Linear Model) application program in the SAS (statistical subsystem) software:

[0017] V z =f(D,H)=a 1 +b 1 D. 3 +c 1 h 2 +d 1 DH ①

[0018] In the formula: a 1 , b 1 , c 1 , d 1 Be a constant, vary according to different apple types and apple batches, for example: this embodi...

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Abstract

The present invention relates to a non-destructive detection method of interior quality of apple. Said method includes the following steps: (1) using X-ray to scan the apple to obtain tested apple image, introducing the fruit diameter D' and fruit height H' in the image into the precreated relationship equation between image and tested apple volume so as to obtain complete apple approximate volume Vz; (2)according to the preset honey fruit lesion tissue image gray threshold value removing normal tissue area to obtain lesion region image; according to the linear relationship between natural log of gray and apple thickness calculating volume of every pixel point, then making integration to obtain honey fruit lesion region approximate volume Vs; (3) using ratio value of above-mentioned two approximate volumes Vs and Vz as honey fruit honey index E; (4) utilizing said index E to define honey fruit grade of apple.

Description

technical field [0001] The invention relates to a non-destructive testing method for the internal quality of apples. Background technique [0002] Apple water core disease is an internal physiological disorder that often occurs during the growth process. It occurs in various apple producing areas in my country, commonly known as "honey fruit". The core of the honey fruit is water-stained. In severe cases, the lesion is close to the peel, making the peel water-stained and transparent like wax. But even such diseased fruit does not affect fresh food, and consumers at home and abroad generally believe that the honey fruit has a unique flavor and high quality. For example, in Japan, the price of the honey fruit is generally higher than that of ordinary apples. The disadvantage of honey fruit is that it is not resistant to storage. In the later stage of storage, the diseased tissue will be corrupted and cannot be eaten, resulting in storage loss. If each apple can be detected b...

Claims

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Application Information

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IPC IPC(8): G01N23/04G01N23/18G06K9/00G06F19/00
Inventor 韩东海
Owner CHINA AGRI UNIV