Spectroscopy and Spectral Analysis, Volume. 41, Issue 12, 3857(2021)

Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds

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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    [9] Gao P, Xu W, Yan T et al[D]. Foods, 8, 620(2019).

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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

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    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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    Paper Information

    Category: Research Articles

    Received: Nov. 14, 2020

    Accepted: --

    Published Online: Dec. 17, 2021

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2021)12-3857-07

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