Spectroscopy and Spectral Analysis, Volume. 42, Issue 8, 2397(2022)

Study on Detection Method of Leaves With Various Citrus Pests and Diseases by Hyperspectral Imaging

Ye-lan WU1,*... Hui-ning GUAN1,1;, Xiao-qin LIAN1,1;, Chong-chong YU1,1;, Yu LIAO2,2; and Chao GAO1,1; |Show fewer author(s)
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
  • show less
    Figures & Tables(9)
    All spectral curves of six types of leaf samples
    Average spectra of six types of leaf samples
    Process of selecting characteristic wavelengths by CARS for original spectrum
    Loading curves of the first four principal components of the original spectrum
    Feature importance screening by XGBoost
    Modeling results of XGBoost using full-band
    Modeling results of SVM using Characteristic wavelengths
    • Table 1. Extracting characteristic wavelengths by CARS and PCA

      View table
      View in Article

      Table 1. Extracting characteristic wavelengths by CARS and PCA

      预处理方法CARS特征波长(λ/nm)PCA特征波长(λ/nm)
      Origin529, 534, 539, 712, 717, 749, 754, 760, 781, 787520, 554, 707, 712, 725, 731, 757
      1st Der529, 539, 754, 760, 792502, 689, 707, 712, 731, 741, 757
      MSC529, 534, 612, 701, 717, 733, 749, 754, 760, 781, 787, 792551, 678, 707, 712, 725, 731, 757
      MF529, 534, 622, 717, 754, 760, 776, 781, 787, 792529, 622, 707, 712, 725, 731, 757
    • Table 2. Modeling results of XGBoost and SVM

      View table
      View in Article

      Table 2. Modeling results of XGBoost and SVM

      模型波长
      范围
      预处理评价指标
      OA/%Recall/%Train-time/s
      XGBoostFSOrigin94.3294.7759
      1stDer93.6094.0754
      MSC95.9894.3257
      MF96.5695.9163
      SVMCARSOrigin93.6394.03167
      1stDer90.2688.31182
      MSC87.9086.92184
      MF91.9590.74175
      PCAOrigin87.5391.00153
      1stDer90.8293.14162
      MSC83.5087.71159
      MF90.9890.87170
    Tools

    Get Citation

    Copy Citation Text

    Ye-lan WU, Hui-ning GUAN, Xiao-qin LIAN, Chong-chong YU, Yu LIAO, Chao GAO. Study on Detection Method of Leaves With Various Citrus Pests and Diseases by Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2397

    Download Citation

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

    Category: Orginal Article

    Received: Nov. 29, 2021

    Accepted: --

    Published Online: Mar. 17, 2025

    The Author Email: WU Ye-lan (wu_yelan@163.com)

    DOI:10.3964/j.issn.1000-0593(2022)08-2397-06

    Topics