Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 80(2022)

Qualitative Analysis of Chlorpyrifos Pesticide Residues in Cabbage Leaves Based on Visible Near Infrared Spectroscopy

Wei LI, Xue-li ZHANG, Qin SU, Rui ZHAO, and Hai-yan SONG*;
Author Affiliations
  • Department of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China
  • show less
    Figures & Tables(6)
    Average spectra of cabbage leaves with different chlorpyrifos concentrations
    Obvious characteristics bands of average spectra of cabbage leaves with different chlorpyrifos concentrations residues
    Obvious characteristics bands of first derivative average spectra of cabbage leaves with different chlorpyrifos concentrations residues
    Prediction effect of prediction set
    • Table 1. Modeling effects of obvious characteristics bands

      View table
      View in Article

      Table 1. Modeling effects of obvious characteristics bands

      光谱数据类型数据维度准确率P/%
      R5474.17
      FD5491.67
      SD5470.83
    • Table 2. All-band grouping integration preprocessing modeling effects

      View table
      View in Article

      Table 2. All-band grouping integration preprocessing modeling effects

      分组
      n
      每组波
      长数m
      R
      准确率P/%
      FD
      准确率P/%
      SD
      准确率P/%
      1021542.5050.8348.33
      1514349.1761.6750.83
      2010766.6789.1764.00
      258670.0097.5073.33
      307181.6788.3353.33
      356165.0070.0057.5
      405361.6754.1748.33
    Tools

    Get Citation

    Copy Citation Text

    Wei LI, Xue-li ZHANG, Qin SU, Rui ZHAO, Hai-yan SONG. Qualitative Analysis of Chlorpyrifos Pesticide Residues in Cabbage Leaves Based on Visible Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 80

    Download Citation

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

    Category: Research Articles

    Received: Nov. 26, 2020

    Accepted: --

    Published Online: Mar. 31, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)01-0080-06

    Topics