Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1366(2022)

Detection of Citrus Granulation Based on Near-Infrared Hyperspectral Data

Yan-de LIU*, Mao-peng LI, Jun HU, Zhen XU, and Hui-zhen CUI
Author Affiliations
  • School of Mechanical and Electrical Engineering, East China Jiaotong University, Nanchang 330013, China
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    References(11)

    [2] Jie Dengfei, Wang Ping, Wu Shuang et al[D]. Food Analytical Methods, 14, 280(2021).

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    [6] Buccheri M, Pu Y, Sun D et al[D]. Food Analytical Methods, 12, 1693(2019).

    [8] Dong Wentao, Zhang Hailiang, Zhang Shuai et al[D]. Infrared Physics and Technology, 108, 103341(2020).

    [9] Henseler J, Hubona G S, Ray P A et al[D]. Industrial Management and Data Systems, 116, 2(2016).

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    [14] Chen X, Li C, Tang R et al[D]. Applied Spectroscopy, 72, 740(2018).

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    Yan-de LIU, Mao-peng LI, Jun HU, Zhen XU, Hui-zhen CUI. Detection of Citrus Granulation Based on Near-Infrared Hyperspectral Data[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1366

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    Paper Information

    Category: Research Articles

    Received: Apr. 9, 2021

    Accepted: --

    Published Online: Nov. 10, 2022

    The Author Email: Yan-de LIU (jxliuyd@163.com)

    DOI:10.3964/j.issn.1000-0593(2022)05-1366-06

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