Journal of Optoelectronics · Laser, Volume. 35, Issue 9, 934(2024)

Disease detection of citrus leaves based on improved CenterNet

LI Dong1, ZHONG Ting1, WANG Sun2, LI Dahua1, and YU Xiao1
Author Affiliations
  • 1Tianjin Key Laboratory of Control Theory & Application in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China
  • 2Tianjin Tongshi Zhiyan Technology Co., LTD., Tianjin 300384, China
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    References(12)

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    [18] [18] DANANJAYAN S, TANG Y, ZHUANG J, et al. Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images[J]. Computers and Electronics in Agriculture, 2022, 193:106658.

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    LI Dong, ZHONG Ting, WANG Sun, LI Dahua, YU Xiao. Disease detection of citrus leaves based on improved CenterNet[J]. Journal of Optoelectronics · Laser, 2024, 35(9): 934

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    Paper Information

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    Received: Mar. 24, 2023

    Accepted: Dec. 20, 2024

    Published Online: Dec. 20, 2024

    The Author Email:

    DOI:10.16136/j.joel.2024.09.0130

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