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Food insect attack degree distinguishing method based on spectral imaging technology

A technology of spectral imaging and discrimination method, which is applied in the direction of color/spectral characteristic measurement, material analysis by optical means, measurement device, etc. It can solve the problems of discrimination research and no degree of pest damage, and achieve comprehensive sample information, easy operation, and improved The effect of intelligent detection management level

Inactive Publication Date: 2014-07-30
JIANGSU UNIV
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Problems solved by technology

The hyperspectral imaging system in the near-infrared region used in this study only distinguishes the intact kernels from the insect-eaten kernels, and there is no research on the discrimination of the degree of insect damage

Method used

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  • Food insect attack degree distinguishing method based on spectral imaging technology
  • Food insect attack degree distinguishing method based on spectral imaging technology
  • Food insect attack degree distinguishing method based on spectral imaging technology

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Embodiment Construction

[0031] The invention has universality for discriminating the degree of grain insect damage. In the experiment, the samples of three different stages of raw rice, processed brown rice and finished rice in the rice processing process were respectively investigated. The present invention only uses the detection of brown rice pests as an implementation example, and the degree of other grain pests can refer to the method of this implementation example, and specifically for the measured grain samples, a new discrimination model for the degree of pest damage can be established, that is, the degree of pest damage of the grain can be discriminated.

[0032] Example implementation steps are described in detail with reference to the accompanying drawings.

[0033] The visible-near-infrared hyperspectral imaging system in the experiment is as follows: figure 1As shown in A, the hyperspectral data of the sample was collected using the Spectral Image System (Isuzu Optics, Taiwan) software p...

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Abstract

The invention relates to a food insect attack degree distinguishing method based on a spectral imaging technology. The food insect attack degree distinguishing method mainly comprises the following steps: establishing a multispectral imaging system based on filter type according to hyperspectral imaging data, and establishing a distinguishing model of sample insect attack degree by extracting image features with sample feature wavelength. The food insect attack degree distinguishing method is characterized in that data volume collected by the spectral imaging system based on the feature wavelength is small; the model is simple and stable; food samples with different insect attack degrees can be distinguished; the food insect attack degree distinguishing method has important significance on food purchasing, storage and processing.

Description

technical field [0001] The patent of the present invention relates to a non-destructive detection method for grain pests, in particular to the discrimination of the degree of sample pests during rice processing using multi-spectral imaging technology. Background technique [0002] Rice is one of the most important grain varieties in my country. Its main purpose is to process the shelled rice directly as rations, and to use it as grain and feed for processing, such as monosodium glutamate, rice flour and wine making. Paddy processing is the process of removing the husk (husk) and milling off the cortex (bran layer) of rice. Insect pests are prone to occur during rice storage. Insect pests will lead to loss of quality of rice and processed rice, lower nutritional value, and pest debris, excrement, etc. will contaminate other grains, endangering food safety, and rice worms affect the appearance of rice, causing Its commodity prices are reduced. Insect-infested grains cannot b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31G01N21/3563G01N21/359
Inventor 陈全胜张朝洁曹阳张杰文徐义欧阳琴李欢欢
Owner JIANGSU UNIV
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