Non-destructive detection method for quickly detecting inner quality of apple

An internal quality, non-destructive testing technology, applied in measurement devices, color/spectral characteristic measurement, instruments, etc., can solve the problems of slow detection, high cost, and inability to separate apples, and achieves the effect of simple equipment and reduced fruit waste.

Inactive Publication Date: 2008-10-29
CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this density detection method can only separate apples with qualified quality and serious water-centered fruits (4 grades), but cannot separate apples of adjacent grades.
(2) Light transmission image density method: According to the report of Throop, use a visual computer to detect the light transmittance of apples, and estimate the area and calculate the density according to the apple image to judge the water core of apples, although this method can correctly separate 75% of the water. Heart disease fruit, but not enough to accurately distinguish the severity of water core disease, because the density difference between disease fruit levels is small; and further research by Upchurch and Throop found that the detection effect is related to the camera sensitivity of the computer vision system
(4) Nuclear magnetic resonance method: Clark and Bieleski reported that nuclear magnetic resonance imaging can be used to track the changes of water core in apples during storage, but the cost of this technology is too high and the detection speed is slow, so it cannot be applied to the apple sorting line
(5) Difference method: The classic optical water core detection method is the difference method of 760nm and 810nm, and the detection accuracy is still not ideal
In addition, Bramlage explored the possibility of using optical methods to detect intact apples; while Paola et al. used time-resolved reflection spectroscopy to detect the brown heart of pears without damage, but they could only detect the 2 cm below the peel. Slight browning is difficult to detect

Method used

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  • Non-destructive detection method for quickly detecting inner quality of apple
  • Non-destructive detection method for quickly detecting inner quality of apple
  • Non-destructive detection method for quickly detecting inner quality of apple

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0015] Example 1: Rapid non-destructive detection of apple water core disease

[0016] 1. First establish the discriminant function of apple water core:

[0017] (1) Sample collection and testing equipment:

[0018] In the same area, at the same picking time, on different fruit trees, and on different parts of the same fruit tree, 200 representative red Fuji apple samples were randomly picked, with fruit diameters ranging from 52.4mm to 93.3mm.

[0019] A CCD grating-type visible-near-infrared spectrometer is used with a wavelength range of 638nm to 1295nm. The computer is equipped with a TQ analyst 6.2 analysis software package (NICOLET, USA) for processing the spectral data.

[0020](2) Carry out continuous spectrum acquisition to the sample:

[0021] A CCD grating-type visible-near-infrared spectrometer is used for continuous spectral collection of each sample in the sample set. The wavelength range is 638nm to 1295nm, and a point is irradiated every 0.35nm. Each spectrum...

Embodiment 2

[0037] Embodiment 2: About the rapid non-destructive detection of apple browning

[0038] 1. First, establish the discriminant function of apple browning:

[0039] (1) Sample collection and testing equipment:

[0040] In the same area, the same picking period, different fruit trees, and different parts of the same fruit tree, 184 representative Fuji apple samples were randomly picked, with fruit diameters ranging from 7.33cm to 9.5cm. All sample apples were divided into four bags and packed into polyvinyl chloride film (thickness 0.8mm) sealed bags, filled with CO 2 gas and make it up to 30%, O 2 The content is 5%. When the polyvinyl chloride film bag naturally leaks and becomes flat, it is filled with air to maintain a certain air pressure, and placed in a natural state indoors for one month to promote browning of the apples and then take them out.

[0041] A CCD grating-type visible-near-infrared spectrometer is used with a wavelength range of 638nm to 1295nm. The comput...

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PUM

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Abstract

The invention discloses a rapid loss-free internal apple quality detecting method, which comprises the following steps: (1) proceeding continual spectrum detecting of each apple through visible-near-infrared spectrometer ranged from 638 to 1295 nm; (2) putting the apple detecting result in the quality discrimination function to judge the apple internal quality; detecting water-core ill and browning ill simultaneously in two discrimination functions through gathering once apple continual spectrum. The invention reduces the waste of sampling apple, which can detect and monitor the stored apple to reduce the storage loss.

Description

technical field [0001] The invention relates to a method for detecting the internal quality of apples, in particular to a method for rapidly and non-destructively detecting the internal quality of apples aimed at water core disease and browning of apples. Background technique [0002] my country is the world's largest producer of fruit, among which apple is the most important variety, but the annual export volume is small, accounting for only 2.1% of the total output. One of the important reasons restricting the export of apples in my country is that the domestic ability of sorting and testing apples is weak, the speed is slow, the test environment is poor, and the level of sorting technology cannot meet the requirements of the international market. Apple water-core disease is an internal physiological disorder that often occurs during the growth period and storage period. It occurs in various apple producing areas in my country. The fruit core of water-core diseased fruit i...

Claims

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Application Information

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IPC IPC(8): G01N21/35G01N21/31G01N21/84G06F19/00G01N21/3563G01N21/359
Inventor 韩东海刘新鑫
Owner CHINA AGRI UNIV
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