Spectroscopy and Spectral Analysis, Volume. 43, Issue 6, 1731(2023)

Segmentation and Detection of Cucumber Powdery Mildew by Comparison of Near-Infrared and Fluorescence Spectra

XU Ji-tong1, JIN Hai-rong1, TONG Wen-yu1, ZHANG Zhe1, GUO Yu-hang1, TIAN Su-bo2, and NING Xiao-feng2
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(5)

    [1] [1] Rur M, Rmert B, Hkeberg M, et al. European Journal of Plant Pathology, 2018, 150(1): 127.

    [9] [9] Li H N, Feng J, Yang W P, et al. Spectrum-Based Method for Quantitatively Detecting Diseases on Cucumber Leaf.4th International Congress on Image and Signal Processing. IEEE, 2011, 4: 1971.

    [10] [10] Smis A, Murguzur F J A, Struyf E, et al. Frontiers in Plant Science, 2014, 5(5): 496.

    [15] [15] Rühle Thilo, Reiter Bennet, Leister Dario. Frontiers in Plant Science, 2018, 9: 55.

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    XU Ji-tong, JIN Hai-rong, TONG Wen-yu, ZHANG Zhe, GUO Yu-hang, TIAN Su-bo, NING Xiao-feng. Segmentation and Detection of Cucumber Powdery Mildew by Comparison of Near-Infrared and Fluorescence Spectra[J]. Spectroscopy and Spectral Analysis, 2023, 43(6): 1731

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    Paper Information

    Received: Mar. 21, 2022

    Accepted: --

    Published Online: Jan. 8, 2024

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2023)06-1731-08

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