• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 12, 3857 (2021)
Long DUAN1、1;, Tian-ying YAN1、1;, Jiang-li WANG2、2; 3;, Wei-xin YE1、1;, Wei CHEN1、1;, Pan GAO1、1; 2; *;, and Xin LÜ2、2; 3; *;
Author Affiliations
  • 11. College of Information Science and Technology, Shihezi University, Shihezi 832003, China
  • 22. The Key Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, Shihezi 832003, China
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    DOI: 10.3964/j.issn.1000-0593(2021)12-3857-07 Cite this Article
    Long DUAN, Tian-ying YAN, Jiang-li WANG, Wei-xin YE, Wei CHEN, Pan GAO, Xin LÜ. Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3857 Copy Citation Text show less
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    CLP Journals

    [1] [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Identification of the Age of Puerariae Thomsonii Radix Based on Hyperspectral Imaging and Principal Component Analysis[J]. Spectroscopy and Spectral Analysis, 2023, 43(6): 1953

    Long DUAN, Tian-ying YAN, Jiang-li WANG, Wei-xin YE, Wei CHEN, Pan GAO, Xin LÜ. Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3857
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