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Pepper Seed Variety Identification Based on Spectral Technique

文献类型： 外文期刊

作者： Li, Cui-ling 1 ; Wang, Xiu 1 ; Meng, Zhi-jun 1 ; Feng, Qing-chun 1 ; Wang, Guo-hua 1 ;

作者机构： 1.Beijing Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

2.Natl Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

3.Minist Agr, Key Lab Agri Informat, Beijing, Peoples R China

4.Beijing Key Lab Intelligent Equipment Technol Agr, Beijing, Peoples R China

关键词： Pepper seed;Spectral technique;Principal component analysis;Linear discriminant analysis

期刊名称：2016 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND ENGINEERING (ESE 2016)

ISSN：

年卷期： 2016 年

页码：

收录情况： SCI

摘要： Pepper seed quality directly affects the growth of pepper seedling and the taste of pepper fruit. Due to the appearances of different varieties of pepper seeds are similar, so it's easy to confuse them together, and further to influence pepper cultivation and production. This study adopted spectral technique to identify pepper seed varieties, and chose three varieties of pepper seeds named "Zhuo Jiao NO. 3", "Zhuo Jiao NO. 4" and "Zhuo Jiao NO. 5" as research objects. Spectral data was collected and pretreated with de-trend (DT), multiple scattering correction (MSC), first derivative (FD) and savitzky-golay (SG) smoothing methods. This research employed principal component analysis (PCA) method to reduce the dimension of spectral data and extract principal components, and linear discriminant analysis (LDA) method was introduced to identify varieties of pepper seeds. Research results showed that using visible/near infrared spectral technique combined with chemometrics methods is feasible for detection of pepper seed varieties.

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