Spectroscopy and Spectral Analysis, Volume. 43, Issue 9, 2885(2023)

Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic

WANG Jing-yong1, XIE Sa-sa2, GAI Jing-yao1, and WANG Zi-ting2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(11)

    [1] [1] Aguiar N O, Medici L O, Olivares F L, et al. Annals of Applied Biology, 2016, 168(2): 203.

    [2] [2] Lipps P E. Mycologia, 1990, 82(5): 663.

    [4] [4] Yamashita H, Sonobe R, Hirono Y, et al. Scientific Reports, 2020, 10(1): 17360.

    [7] [7] An G, Xing M, He B, et al. Remote Sensing, 2020, 12(18): 3104.

    [8] [8] Bhadra S, Sagan V, Maimaitijiang M, et al. Remote Sensing, 2020, 12(13): 2082.

    [11] [11] Baffi G, Martin E B, Morris A J. Computers and Chemical Engineering, 1999, 23(9): 1293.

    [12] [12] Khoshhal J, Mokarram M. International Journal of Environmental Sciences, 2012, 3(3): 1000.

    [13] [13] Cover T M, Hart P E. IEEE Transactions on Information Theory, 1967, 13(1): 21.

    [14] [14] Fan J, Yue W, Wu L, et al. Agricultural and Forest Meteorology, 2018, 263: 225.

    [17] [17] Bylander T. Machine Learning, 2002, 48(1-3): 287.

    Tools

    Get Citation

    Copy Citation Text

    WANG Jing-yong, XIE Sa-sa, GAI Jing-yao, WANG Zi-ting. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. Spectroscopy and Spectral Analysis, 2023, 43(9): 2885

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: May. 3, 2022

    Accepted: --

    Published Online: Jan. 12, 2024

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2023)09-2885-09

    Topics