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)
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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
Paper Information
Received: Aug. 28, 2022
Accepted: --
Published Online: Aug. 28, 2024
The Author Email: LIU Xue-mei (475483235@qq.com)
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