• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 12, 3837 (2021)
Ye-lan WU1、*, Yi-yu CHEN1、1;, Xiao-qin LIAN1、1;, Yu LIAO2、2;, Chao GAO1、1;, Hui-ning GUAN1、1;, and Chong-chong YU1、1;
Author Affiliations
  • 11. Key Laboratory of Internet and Big Data in Light Industry, Beijing Technology and Business University, Beijing 100048, China
  • 22. Institute of Agricultural Engineering, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China
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    DOI: 10.3964/j.issn.1000-0593(2021)12-3837-07 Cite this Article
    Ye-lan WU, Yi-yu CHEN, Xiao-qin LIAN, Yu LIAO, Chao GAO, Hui-ning GUAN, Chong-chong YU. Study on the Identification Method of Citrus Leaves Based on Hyperspectral Imaging Technique[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3837 Copy Citation Text show less
    References

    [2] Q Gu, L Sheng, H Zhang T et al. Computers and Electronics in Agriculture, 167, 105066(2019).

    [3] Y Zhang, J Wang K, M Guo D et al. Frontiers of Agricultural Science and Engineering, 6, 172(2019).

    [8] Y Ampatzidis, J Abdulridha, O Batuman. Remote Sensing, 11, 1373(2019).

    [11] Q Huang W, X Tian, X Fan S et al. Postharvest Biology and Technology, 161, 111071(2020).

    [13] T Guo A, C Ye H, J Huang W et al. Remote Sensing, 12, 1419(2020).

    [14] B Cauwer D, D Nuyttens, M Lauwers et al. Sensors, 20, 2504(2020).

    Ye-lan WU, Yi-yu CHEN, Xiao-qin LIAN, Yu LIAO, Chao GAO, Hui-ning GUAN, Chong-chong YU. Study on the Identification Method of Citrus Leaves Based on Hyperspectral Imaging Technique[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3837
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