Spectroscopy and Spectral Analysis, Volume. 44, Issue 6, 1718(2024)

Feasibility Study on Identification of Seeds of Hong Kong Seeds 49, October Red and September Fresh Cabbage Based on Visible/Shortwave Near-Infrared Spectroscopy of Partial Least Squares Discriminant (PLS-DA) and Least Squares Support Vector Machine (LS-SVM)

ZHANG Hai-liang1... NIE Xun1, LIAO Shao-min1, ZHAN Bai-shao1, LUO Wei1, LIU Shu-ling2, LIU Xue-mei3,* and XIE Chao-yong1 |Show fewer author(s)
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    ZHANG Hai-liang, NIE Xun, LIAO Shao-min, ZHAN Bai-shao, LUO Wei, LIU Shu-ling, LIU Xue-mei, XIE Chao-yong. Feasibility Study on Identification of Seeds of Hong Kong Seeds 49, October Red and September Fresh Cabbage Based on Visible/Shortwave Near-Infrared Spectroscopy of Partial Least Squares Discriminant (PLS-DA) and Least Squares Support Vector Machine (LS-SVM)[J]. Spectroscopy and Spectral Analysis, 2024, 44(6): 1718

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    Paper Information

    Received: Aug. 28, 2022

    Accepted: --

    Published Online: Aug. 28, 2024

    The Author Email: Xue-mei LIU (475483235@qq.com)

    DOI:10.3964/j.issn.1000-0593(2024)06-1718-06

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