Spectroscopy and Spectral Analysis, Volume. 43, Issue 8, 2596(2023)

Cucumber Disease Detection Method Based on Visible Light Spectrum and Improved YOLOv5 in Natural Scenes

LI Shu-fei1, LI Kai-yu1, QIAO Yan2, and ZHANG Ling-xian1
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(5)

    [1] [1] Liu Chen, Zhu Huaji, Guo Wang, et al. Computers and Electronics in Agriculture, 2021, 189: 106378.

    [3] [3] Liu Jun, Wang Xuewei. Plant Methods, 2020, 16(1): 83.

    [4] [4] Wang Xuewei, Liu Jun, Zhu Xiaoning. Plant Methods, 2021, 17(1): 43.

    [5] [5] Sifre Laurent, Mallat Stephane. Computer Science, 2014, 3559: 501.

    [6] [6] Hu Jie, Shen Li, Albanie Samuel, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(8): 2011.

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    LI Shu-fei, LI Kai-yu, QIAO Yan, ZHANG Ling-xian. Cucumber Disease Detection Method Based on Visible Light Spectrum and Improved YOLOv5 in Natural Scenes[J]. Spectroscopy and Spectral Analysis, 2023, 43(8): 2596

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    Paper Information

    Received: Oct. 15, 2021

    Accepted: --

    Published Online: Jan. 10, 2024

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2023)08-2596-05

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