Spectroscopy and Spectral Analysis, Volume. 41, Issue 4, 1220(2021)

Prediction Model of Rice Panicles Blast Disease Degree Based on Canopy Hyperspectral Reflectance

HAN Yu1,2, LIU Huan-jun1,2, ZHANG Xin-le1, YU Zi-yang1, MENG Xiang-tian1, KONG Fan-chang1, SONG Shao-zhong3, and HAN Jing1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    References(6)

    [1] [1] Yang C, Cheng C, Chen R, et al. Crop Science, 2007, 47(1): 329.

    [7] [7] Liu Z Y, Wu H F, Huang J F. Computers & Electronics in Agriculture, 2010, 72(2): 99.

    [9] [9] Kobayashi T, Kanda E, Naito S, et al. Journal of General Plant Pathology, 2003, 69(1): 17.

    [10] [10] Clark R N, Roger T L. Journal of Geophysical Research Atmospheres, 1984, 89: 6329.

    [12] [12] Kobayashi T, Kanda E, Kitada K, et al. Phytopathology, 2001, 91(3): 316.

    [13] [13] Zhang Jingcheng, Pu Ruiliang, Wang Jihua, et al. Computers and Electronics in Agriculture, 2012, 85: 13.

    Tools

    Get Citation

    Copy Citation Text

    HAN Yu, LIU Huan-jun, ZHANG Xin-le, YU Zi-yang, MENG Xiang-tian, KONG Fan-chang, SONG Shao-zhong, HAN Jing. Prediction Model of Rice Panicles Blast Disease Degree Based on Canopy Hyperspectral Reflectance[J]. Spectroscopy and Spectral Analysis, 2021, 41(4): 1220

    Download Citation

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

    Received: Apr. 6, 2020

    Accepted: --

    Published Online: Apr. 12, 2021

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2021)04-1220-07

    Topics