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Proceedings Paper

Pepper seed variety identification based on visible/near-infrared spectral technology
Author(s): Cuiling Li; Xiu Wang; Zhijun Meng; Pengfei Fan; Jichen Cai
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Paper Abstract

Pepper is a kind of important fruit vegetable, with the expansion of pepper hybrid planting area, detection of pepper seed purity is especially important. This research used visible/near infrared (VIS/NIR) spectral technology to detect the variety of single pepper seed, and chose hybrid pepper seeds "Zhuo Jiao NO.3", "Zhuo Jiao NO.4" and "Zhuo Jiao NO.5" as research sample. VIS/NIR spectral data of 80 "Zhuo Jiao NO.3", 80 "Zhuo Jiao NO.4" and 80 "Zhuo Jiao NO.5” pepper seeds were collected, and the original spectral data was pretreated with standard normal variable (SNV) transform, first derivative (FD), and Savitzky-Golay (SG) convolution smoothing methods. Principal component analysis (PCA) method was adopted to reduce the dimension of the spectral data and extract principal components, according to the distribution of the first principal component (PC1) along with the second principal component(PC2) in the twodimensional plane, similarly, the distribution of PC1 coupled with the third principal component(PC3), and the distribution of PC2 combined with PC3, distribution areas of three varieties of pepper seeds were divided in each twodimensional plane, and the discriminant accuracy of PCA was tested through observing the distribution area of samples’ principal components in validation set. This study combined PCA and linear discriminant analysis (LDA) to identify single pepper seed varieties, results showed that with the FD preprocessing method, the discriminant accuracy of pepper seed varieties was 98% for validation set, it concludes that using VIS/NIR spectral technology is feasible for identification of single pepper seed varieties.

Paper Details

Date Published: 3 November 2016
PDF: 9 pages
Proc. SPIE 10030, Infrared, Millimeter-Wave, and Terahertz Technologies IV, 100302N (3 November 2016); doi: 10.1117/12.2247569
Show Author Affiliations
Cuiling Li, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Xiu Wang, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Zhijun Meng, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Pengfei Fan, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Jichen Cai, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)


Published in SPIE Proceedings Vol. 10030:
Infrared, Millimeter-Wave, and Terahertz Technologies IV
Cunlin Zhang; Xi-Cheng Zhang; Masahiko Tani, Editor(s)

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