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 WANG; Ping HAN; Jing-zhu WU; Li-li ZHAO; Heng XU

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

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 9 >Page 2696 > Article

Spectroscopy and Spectral Analysis
Vol. 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 WANG^{1、1; 2;}, Ping HAN^{1、1; 2; *;}, Jing-zhu WU^{3、3; *;}, Li-li ZHAO^4、4;, and Heng XU^4、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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DOI: 10.3964/j.issn.1000-0593(2021)09-2696-07 Cite this Article

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 Copy Citation Text

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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 (○)

Fig. 1. 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 (○)

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Fig. 2. The control group (a) and the heat-damaged group (b) of Jingkenuo 2000 corn seeds

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Fig. 3. The multi-spectra of waxy corn seeds
(a1): GUEmDZ; (a2): GUEmRSS; (b1): GUEnDZ; (b2): GUEnRSS; (c1): GDEnDZ; (c2): GDEnRSS

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Fig. 4. The standard deviation of the multi-spectra of waxy corn seeds
○: GUEmDZ; *: GUEmRSS; △: GUEnDZ;▽: GUEnRSS; +: GDEnDZ; ×: GDEnRSS

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Fig. 5. 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

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Fig. 6. The NIR spectra of waxy corn seeds
(a): GUSDZ; (b): GUSRSS; (c): GDSDZ; (d): GDSRSS

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Fig. 7. The standard deviation of the near-infrared spectral data of waxy corn seeds
○: GUSDZ; *: GUSRSS; △: GDSDZ; ▽: GDSRSS

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Fig. 8. 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

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模型	模型维数	校正数据		交互验证数据
模型	模型维数	对照正确率 /%	热损伤正确率 /%	对照正确率 /%	热损伤正确率 /%
GUEm	5	98.0	100.0	90.0	98.0
GUEn	4	100.0	98.0	100.0	98.0
GDEn	4	96.0	98.0	92.0	98.0
GUEm-GUEn	7	100.0	100.0	100.0	98.0

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

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模型	模型维数	校正数据		交互验证数据
模型	模型维数	对照正确率/%	热损伤正确率/%	对照正确率/%	热损伤正确率/%
GUS		100	100	100	100
GDS		100	100	100	100
GUS-GDS		100	100	100	100

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

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