Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2290(2022)

Early Warning Method of Apple Spoilage Based on 2D Hyperspectral Information Representation With Pixel Mean and Variance

Zhi-hao WANG*, Yong YIN*;, Hui-chun YU, Yun-xia YUAN, and Shu-ning XUE
Author Affiliations
  • College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China
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    References(8)

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    [5] Jiang Hongzhe, Wang Wei, Zhuang Hong et al[D]. Food Analytical Methods, 12, 2205(2019).

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    [7] Nielsen S S[M]. Food Analysis. 5th ed, 545(2017).

    [9] Ktenioudaki A, Nunes M C N, O’Donnell C P[D]. Postharvest Biology and Technology, 154, 148(2019).

    [10] Li Fujun, Min Dedong, Song Baicheng et al[D]. Postharvest Biology and Technology, 134, 98(2017).

    [12] Lu Renfu, Saeys W, Van Beers R et al[D]. Postharvest Biology and Technology, 159, 111003(2020).

    [14] Ma Dongdong, Maki H, Zhang Libao et al[D]. Computers and Electronics in Agriculture, 156, 349(2019).

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    Zhi-hao WANG, Yong YIN, Hui-chun YU, Yun-xia YUAN, Shu-ning XUE. Early Warning Method of Apple Spoilage Based on 2D Hyperspectral Information Representation With Pixel Mean and Variance[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2290

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    Paper Information

    Category: Orginal Article

    Received: May. 31, 2021

    Accepted: --

    Published Online: Nov. 16, 2022

    The Author Email: Zhi-hao WANG (2898721698@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)07-2290-07

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