Spectroscopy and Spectral Analysis, Volume. 43, Issue 5, 1541(2023)

Hyperspectral and Ensemble Learning Method for Rapid Identification of Black Spot in Yali Pear at Gley Stage

ZHANG Fan1, WANG Wen-xiu1, ZHANG Yu-fan11, HU Ze-xuan1, ZHAO Dan-yang1, MA Qian-yun1, SHI Hai-yan2, and SUN Jian-feng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(8)

    [1] [1] Pan T T, Chyngyz E, Sun D W, et al. Postharvest Biology and Technology, 2019, 154: 96.

    [2] [2] Li J B, Huang W Q, Tian X, et al. Computers and Electronics in Agriculture, 2016, 127: 582.

    [4] [4] Jarolmasjed S, Espinoza C Z, Sankaran S. Journal of Food Measurement and Characterization, 2017, 11(3): 987.

    [5] [5] Yuan R R, Liu G S, He G G, et al. Computers and Electronics in Agriculture, 2021, 182: 106043.

    [6] [6] Pan L Q, Zhang Q, Zhang W, et al. Food Chemistry, 2016, 192: 134.

    [8] [8] Ghoggali N, Douak F Z, Ghoggali W. Optik, 2022, 257: 168813.

    [12] [12] Yu D M, Xu T Y, Song K. Spectroscopy Letters, 2018, 51: 191.

    [13] [13] Li J B, Huang W Q, Tian X, et al. Computers and Electronics in Agriculture, 2016, 127: 582.

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    ZHANG Fan, WANG Wen-xiu, ZHANG Yu-fan1, HU Ze-xuan, ZHAO Dan-yang, MA Qian-yun, SHI Hai-yan, SUN Jian-feng. Hyperspectral and Ensemble Learning Method for Rapid Identification of Black Spot in Yali Pear at Gley Stage[J]. Spectroscopy and Spectral Analysis, 2023, 43(5): 1541

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    Paper Information

    Received: Feb. 21, 2022

    Accepted: --

    Published Online: Jan. 7, 2024

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2023)05-1541-09

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