Spectroscopy and Spectral Analysis, Volume. 43, Issue 4, 1248(2023)

Segmentation Method for Crop Leaf Spot Based on Semantic Segmentation and Visible Spectral Images

LI Kai-yu1、*, ZHANG Hui2, MA Jun-cheng3, and ZHANG Ling-xian1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(7)

    [1] [1] Ma J, K Du, Zheng F, et al. Computers and Electronics in Agriculture, 2018, 154: 18.

    [2] [2] Zhang S, You Z, Wu X. Neural Computing and Applications, 2019, 31(2): 1225.

    [3] [3] Zhang S, Wu X, You Z, et al. Computers and Electronics in Agriculture, 2017, 134: 135.

    [5] [5] Alencastre M M, Johnson R R, Krebs H I. IEEE Transactions on Industrial Informatics, 2021, 17(2): 787.

    [6] [6] Xiong L, Zhang D, Li K, et al. Soft Computing, 2020, 24(10): 7253.

    [7] [7] Chen L C, Papandreou G, Kokkinos I, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(4): 834.

    [12] [12] Li Y X, Liu H J, Ma J C, et al. Computers and Electronics in Agriculture, 2021, 190: 106480.

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    LI Kai-yu, ZHANG Hui, MA Jun-cheng, ZHANG Ling-xian. Segmentation Method for Crop Leaf Spot Based on Semantic Segmentation and Visible Spectral Images[J]. Spectroscopy and Spectral Analysis, 2023, 43(4): 1248

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    Paper Information

    Received: Feb. 8, 2022

    Accepted: --

    Published Online: May. 3, 2023

    The Author Email: LI Kai-yu (1162103154@qq.com)

    DOI:10.3964/j.issn.1000-0593(2023)04-1248-06

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