Spectroscopy and Spectral Analysis, Volume. 41, Issue 9, 2696(2021)

Non-Destructive Identification of the Heat-Damaged Kernels of Waxy Corn Seeds Based on Near-Ultraviolet-Visible-Shortwave and Near-Infrared Multi-Spectral Imaging Data

Dong WANG1、1; 2;, Ping HAN1、1; 2; *;, Jing-zhu WU3、3; *;, Li-li ZHAO4、4;, and Heng XU4、4;
Author Affiliations
  • 11. Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
  • 33. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
  • 44. Beijing Biopute Technology Co., Ltd., Beijing 100193, China
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    Figures & Tables(10)
    The diagram of the areas for collecting the spectra of waxy corn seed(a): embryo with germ upward, GUEm (+), endosperm with germ upward, GUEn (×); (b): endosperm with germ downward, GDEn (○)
    The control group (a) and the heat-damaged group (b) of Jingkenuo 2000 corn seeds
    The multi-spectra of waxy corn seeds(a1): GUEmDZ; (a2): GUEmRSS; (b1): GUEnDZ; (b2): GUEnRSS; (c1): GDEnDZ; (c2): GDEnRSS
    The standard deviation of the multi-spectra of waxy corn seeds○: GUEmDZ; *: GUEmRSS; △: GUEnDZ;▽: GUEnRSS; +: GDEnDZ; ×: GDEnRSS
    The scatter plots of the first 3 principal components of PLS-DA models of the multi-spectra of waxy corn seeds(a): GUEm; (b): GUEN; (c): GDEn; (d): GUEm-GUEn; ○: control group; △: heat-damaged group
    The NIR spectra of waxy corn seeds(a): GUSDZ; (b): GUSRSS; (c): GDSDZ; (d): GDSRSS
    The standard deviation of the near-infrared spectral data of waxy corn seeds○: GUSDZ; *: GUSRSS; △: GDSDZ; ▽: GDSRSS
    The scatter plots of the first 3 principal components of PLS-DA models of the NIR spectra of waxy corn seeds(a): GUS; (b): GDS; (c): GUS-GDS; ○: control group; △: heat-damaged group
    • Table 1. The accuracy of PLS-DA for heat-damaged kernels of Jingkonuo 2000 corn seeds

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      Table 1. The accuracy of PLS-DA for heat-damaged kernels of Jingkonuo 2000 corn seeds

      模型模型
      维数
      校正数据交互验证数据
      对照
      正确率
      /%
      热损伤
      正确率
      /%
      对照
      正确率
      /%
      热损伤
      正确率
      /%
      GUEm598.0100.090.098.0
      GUEn4100.098.0100.098.0
      GDEn496.098.092.098.0
      GUEm-GUEn7100.0100.0100.098.0
    • Table 2. The accuracy of PLS-DA for heat-damaged kernels of Jingkonuo 2000 corn seeds

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      View in Article

      Table 2. The accuracy of PLS-DA for heat-damaged kernels of Jingkonuo 2000 corn seeds

      模型模型
      维数
      校正数据交互验证数据
      对照正确
      率/%
      热损伤正
      确率/%
      对照正确
      率/%
      热损伤正
      确率/%
      GUS100100100100
      GDS100100100100
      GUS-GDS100100100100
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    Dong WANG, Ping HAN, Jing-zhu WU, Li-li ZHAO, Heng XU. Non-Destructive Identification of the Heat-Damaged Kernels of Waxy Corn Seeds Based on Near-Ultraviolet-Visible-Shortwave and Near-Infrared Multi-Spectral Imaging Data[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2696

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    Paper Information

    Category: Research Articles

    Received: Aug. 26, 2020

    Accepted: --

    Published Online: Oct. 29, 2021

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2021)09-2696-07

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