Multispectral combined laser induced breakdown spectroscopy cereal crop producing area identification method

A combination of laser and induced breakdown technology, applied in the field of spectral analysis, can solve complex, unsuitable for industrial applications, time-consuming and other problems, achieve accurate classification, reduce sample detection time, and improve training efficiency

Active Publication Date: 2017-02-15
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] From the above studies, the existing rice classification and detection technology mainly uses chemical de

Method used

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  • Multispectral combined laser induced breakdown spectroscopy cereal crop producing area identification method
  • Multispectral combined laser induced breakdown spectroscopy cereal crop producing area identification method
  • Multispectral combined laser induced breakdown spectroscopy cereal crop producing area identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] 1. Sample preparation.

[0062] In this implementation case, 10 kinds of rice samples from different origins were selected (as shown in Table 1). Mazhengzong Glutinous Rice (Bama, Guangxi), Panfu Fengjin Rice (Panjin, Liaoning), Wuchang Daohuaxiang Rice (Wuchang, Heilongjiang), Northeast Brown Rice (Siping Shuangliao, Jilin), Dumin Yugong (Anqing, Anhui), Xiangchi Rice (Hunan Taoyuan), Wannian tribute rice (Shangrao, Jiangxi) and Chongming Island rice (Taizhou, Jiangsu). The method of the invention is used to classify them by place of origin. In order to simplify the analysis process, rice from different origins are numbered separately, and the label values ​​are: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10; the corresponding origins are abbreviated as Guangdong (GD), Hubei (HB), Guangxi (GX), Liaoning (LN), Heilongjiang (HLJ), Jilin (JL), Anhui (AH), Hunan (HN), Jiangxi (JX), Jiangsu (JS). Considering the physical characteristics of the sample, such as the irregularity of the sam...

Embodiment 2

[0074] 1. Sample preparation.

[0075] In this implementation case, rice samples from 6 different origins in the same province are selected (as shown in Table 5). ), Cuilin Glutinous Rice (Qiqihar, Heilongjiang), Northeast Xiangshui Rice (Xiangshui Village, Ning'an, Heilongjiang) and Vegetarian Cat Tailai Rice (Qiqihar, Heilongjiang). The method of the invention is used to classify them by place of origin. In order to simplify the analysis process, the rice from different origins are numbered separately, and the label values ​​are: 1, 2, 3, 4, 5, 6; the corresponding origins are abbreviated as Suihua (SH), Wuchang (WC), Lianhua (LH) , Qiqihar 1 (QQHE1), Xiangshui (XS), Qiqihar 2 (QQHE2). Rice from different origins were also pulverized using a pulverizer to prepare uniform powder samples, and then about 15 g of powder samples were weighed using a tablet press with a pressure of 25 MPa to make flake samples with uniform thickness for LIBS spectral detection.

[0076] 2. Spec...

Embodiment 3

[0087] 1. Sample preparation.

[0088] In this implementation case, rice samples of 20 different origins from 10 different provinces were selected (as shown in Table 7). ), Qiheyuan (Suihua, Heilongjiang), King Shrimp Fragrant Soft Rice (Dongguan, Guangdong), Tiandi Liangren (Chaoyang, Liaoning), Guangxi Bama Authentic Glutinous Rice (Guangxi Bama), Panfu Fengjin Rice (Liaoning Panjin), Wugu Miscellaneous grains and small sago (Guangzhou, Guangdong), Wuchang Daohuaxiang rice (Wuchang, Heilongjiang), baby food supplement (Ning'an Lianhua Village, Heilongjiang), Cuilin glutinous rice (Qiqihar, Heilongjiang), Northeast brown rice (Siping Shuangliao, Jilin), Dumin Yugong (Anqing, Anhui) ), Northeast Xiangshui Rice (Xiangshui Village, Ning’an, Heilongjiang), Xiangchi Rice (Taoyuan, Hunan), Wannian Gongmi (Shangrao, Jiangxi), Chongming Island Rice (Taizhou, Jiangsu), Yijiang Autumn Selenium-enriched Rice (Ji’an, Jiangxi), Zhuxi Gong Rice (Zhuxi, Shiyan, Hubei) and Vegetarian Cat Ta...

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PUM

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Abstract

The method discloses a multispectral combined laser induced breakdown spectroscopy cereal crop producing area identification method. The method comprises SVM classification modeling and producing area identification. Through combination of a support vector machine algorithm and LIBS rapid material analysis, the method realizes rapid and accurate classification of rice products in different producing areas. Through use of similar large signal-to-background ratio characteristic spectral lines of the same element, difference of cereals such as rice in different producing areas is increased so that algorithm recognition accuracy is improved. Through combination of laser induced breakdown spectroscopy and SVM algorithm, fast and accurate identification is realized.

Description

technical field [0001] The invention belongs to the technical field of spectral analysis, and in particular relates to a method for identifying the origin of cereal crops, especially rice, by using laser-induced breakdown spectroscopy. The origin is also called traceable origin. Background technique [0002] Rice is known as "the first of the five grains". It is one of the main food crops in my country, accounting for about 30% of the cultivated area of ​​food crops. Basic food with micronutrients. However, the nutrient composition of rice varies greatly due to different varieties, origins, and growth conditions. In addition, unfavorable phenomena such as "inferior rice pretending to be high-quality rice" and "origin masquerading as rice" continue to appear in the market, so effective detection methods are needed. The quality and origin of the rice circulating in the market are identified. Traditional identification methods mainly include sensory and chemical detection. Am...

Claims

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Application Information

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IPC IPC(8): G01N21/71G01N1/28
CPCG01N1/286G01N21/718G01N33/10
Inventor 李祥友杨平郭连波朱毅宁曾晓雁陆永枫李嘉铭杨新艳唐云
Owner HUAZHONG UNIV OF SCI & TECH
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