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Near-infrared spectrum technology based method for rapidly identifying wheat grains with FHB (Fusarium Head Blight)

A technology of near-infrared spectroscopy and scab, which is applied in the direction of color/spectral characteristic measurement, material analysis through optical means, and measuring devices, etc., to improve the quality of flour, ensure the safety of humans and animals, and reduce the effect of impurities

Active Publication Date: 2013-05-08
HENAN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the research on the treatment of wheat scab grains in my country is not blank. According to the characteristics of scab grains, wind removal method and separation method are often used to remove scab grains, but the wind removal method and separation method only screen out red fungus with light specific gravity. Mildew kernels, can't do anything about those kernels that are less diseased and about the same weight as healthy kernels

Method used

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  • Near-infrared spectrum technology based method for rapidly identifying wheat grains with FHB (Fusarium Head Blight)
  • Near-infrared spectrum technology based method for rapidly identifying wheat grains with FHB (Fusarium Head Blight)
  • Near-infrared spectrum technology based method for rapidly identifying wheat grains with FHB (Fusarium Head Blight)

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] a) Sample pretreatment: collect 25 scab-affected wheat, and remove impurities such as stones, soil clods, and grass seeds in the sample. For each wheat sample, one portion of common grains and one portion of scab grains were picked out, 100 g each, and stored in mesh bags. Naturally dry until the moisture content of the wheat grains is stable at 10% to 13%. Then draw 2 / 3 of the samples as the calibration set samples, and 1 / 3 as the validation set samples.

[0033] b) Spectral data collection: scan range 950nm ~ 1650nm, room temperature 0°C ~ 42°C, repeat scanning of the sample 4 times, and calculate the average spectrum. For each sample, one spectrum of ordinary wheat grains and one spectrum of head blight wheat grains were collected. The spectrum of ordinary wheat grains was represented by adding 0 to the sample code, and the spectrum of grains of scab diseased wheat grains was represented by adding 1 to the sample code.

[0034] c) Spectral preprocessing: Unscramble...

Embodiment 2

[0045] Collect 25 scab-affected wheat, and remove impurities such as stones, soil clods, and grass seeds in the samples. The scanning range is 950nm to 1650nm, the room temperature is 0°C to 42°C, the sample is scanned 4 times repeatedly, and the average spectrum is calculated. For each wheat sample, one portion of common grains and one portion of scab grains were picked out, 100 g each, and stored in mesh bags. Naturally dry until the moisture content of the wheat grains is stable at 10% to 13%. The near-infrared spectrometer scans and collects the spectrum. The spectrum of common wheat grains is represented by adding 0 to the sample code, and the spectrum of scab grains is represented by adding 1 to the sample code. Then draw 2 / 3 of the samples as the calibration set samples, and 1 / 3 as the validation set samples. Without any processing on the spectra, the original spectra were systematically clustered and analyzed using the centroid connection method provided by SPSS soft...

Embodiment 3

[0047] Collect 25 scab-affected wheat, and remove impurities such as stones, soil clods, and grass seeds in the samples. The scanning range is 950nm to 1650nm, the room temperature is 0°C to 42°C, the sample is scanned 4 times repeatedly, and the average spectrum is calculated. For each wheat sample, 10 common grains and 10 scab grains were selected. Naturally dry until the moisture content of the wheat grains is stable at 10% to 13%. The near-infrared spectrometer scans and collects the spectrum. The spectrum of ordinary wheat grains is represented by adding 0 to the lowercase letter of the sample code, and the spectrum of scab wheat grains is represented by adding 1 to the lowercase letter of the sample code. Then draw 2 / 3 of the samples as the calibration set samples, and 1 / 3 as the validation set samples. First, the software Unscrambler7.8 was used to preprocess the spectral data by Norris derivation spectrum, and then the WARD method provided by SPSS software was used t...

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Abstract

The invention discloses a near-infrared spectrum technology based method for rapidly identifying wheat grains with FHB (Fusarium Head Blight). The method is characterized by comprising the following steps of: collecting wheat samples with the FHB and acquiring multi-grain and single-grain spectral data of the wheat samples by using a near-infrared spectrometer; carrying out clustering analysis after spectral data preprocessing, and preliminarily observing the classification situation of the wheat samples; and confirming the grains with the FHB and identifying the sensitive waveband on the basis of the spectral data preprocessing, building identifying models of the multi-grain and single-grain wheat grains with the FHB through taking the sensitive waveband as variable input and finally realizing the rapid identification of the grains with the FHB. According to the invention, with a view to the fundamental research and discussion of the technology of separating the wheat grains with the FHB in China, a near-infrared spectrum technology is firstly used in the separation of the wheat grains with the FHB and a method for separating the wheat grains with the FHB, which is simple, convenient, easy and high in separation rate, is found; and the method disclosed by invention is capable of reducing the wheat grain impurity content, improving the flour quality and guaranteeing the human and animal safety and is a wheat separating and identifying technology which has board application prospect.

Description

technical field [0001] The invention relates to a detection method for wheat diseases, in particular to a rapid discrimination method for low-value wheat scab grains in the wheat processing industry. Scab kernels. Background technique [0002] Wheat scab, also known as wheat ear dry, rotten wheat head, red wheat head, is mainly distributed in warm and humid and sub-humid temperate and subtropical wheat planting areas in the world. It is often prevalent in winter wheat areas in southern my country. Rainy years are also susceptible to a large number of head blight infection and spread. In recent years, with the combined effects of variety replacement, large-scale application of nitrogen fertilizer, expansion of irrigated land in irrigated areas, and global warming, the areas damaged by wheat scab have tended to expand, and it has become a major area in the Jianghuai and Huanghuai winter wheat regions. Common diseases. 2003 was the year when wheat scab broke out in my country...

Claims

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Application Information

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IPC IPC(8): G01N21/35G01N21/3563G01N21/359
Inventor 卞科崔贵金关二旗李萌萌张昆张珅铖
Owner HENAN UNIVERSITY OF TECHNOLOGY
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