Spectroscopy and Spectral Analysis, Volume. 43, Issue 7, 2220(2023)

Early Recognition of Sclerotinia Stem Rot on Oilseed Rape byHyperspectral Imaging Combined With Deep Learning

LIANG Wan-jie1, FENG Hui2, JIANG Dong3, ZHANG Wen-yu4, CAO Jing1, and CAO Hong-xin1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(7)

    [2] [2] Carvajal-Yepes M, Cardwell K, Nelson A, et al. Science, 2019, 364(6447): 1237.

    [4] [4] Zhang Chu, Feng Xuping, Wang Jian, et al. Plant Methods, 2017, 13: 39.

    [5] [5] Liu F, Shen T, Wang J, et al. Transactions of the ASABE, 2019, 62(1): 123.

    [6] [6] Oerke E C, Herzog K, Toepfer R. Journal of Experimental Botany, 2016, 67(18): 5529.

    [10] [10] Kong Wenwen, Zhang Chu, Cao Feng, et al. Sensors, 2018, 18: 1764.

    [11] [11] Kong Wenwen, Zhang Chu, Huang Weihao, et al. Sensors, 2018, 18: 123.

    [14] [14] Hinton G E, Salakhutdinov R R. Science, 2006, 313: 504.

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    LIANG Wan-jie, FENG Hui, JIANG Dong, ZHANG Wen-yu, CAO Jing, CAO Hong-xin. Early Recognition of Sclerotinia Stem Rot on Oilseed Rape byHyperspectral Imaging Combined With Deep Learning[J]. Spectroscopy and Spectral Analysis, 2023, 43(7): 2220

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    Paper Information

    Received: Mar. 21, 2022

    Accepted: --

    Published Online: Jan. 10, 2024

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2023)07-2220-06

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