• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 10, 3058 (2021)
Shu-xiang FAN1、*, Qing-yan WANG1、1;, Yu-sen YANG2、2;, Jiang-bo LI1、1;, Chi ZHANG1、1;, Xi TIAN1、1;, and Wen-qian HUANG1、1; *;
Author Affiliations
  • 11. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
  • 22. Southwest Jiaotong University-University of Leeds Joint School, Chengdu 611731, China
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    DOI: 10.3964/j.issn.1000-0593(2021)10-3058-06 Cite this Article
    Shu-xiang FAN, Qing-yan WANG, Yu-sen YANG, Jiang-bo LI, Chi ZHANG, Xi TIAN, Wen-qian HUANG. Development and Experiment of a Handheld Visible/Near Infrared Device for Nondestructive Determination of Fruit Sugar Content[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3058 Copy Citation Text show less
    Image of the developed handheld visible/near infrared device for detecting fruit sugar content
    Fig. 1. Image of the developed handheld visible/near infrared device for detecting fruit sugar content
    The transmittance spectra after preprocessing methods(a): Apple; (b): Peach
    Fig. 2. The transmittance spectra after preprocessing methods
    (a): Apple; (b): Peach
    Scatter plots of predicted vs. measured sugar content(a): Apple; (b): Peach
    Fig. 3. Scatter plots of predicted vs. measured sugar content
    (a): Apple; (b): Peach
    Variation of Rp obtained by piecewise direct standardization (PDS) algorithm with different numbers of transfer samples and different window sizes(a): Apple; (b): Peach
    Fig. 4. Variation of Rp obtained by piecewise direct standardization (PDS) algorithm with different numbers of transfer samples and different window sizes
    (a): Apple; (b): Peach
    Variation of Rp and RMSEP obtained by CCA algorithm with different numbers of transfer samples(a): Apple; (b): Peach
    Fig. 5. Variation of Rp and RMSEP obtained by CCA algorithm with different numbers of transfer samples
    (a): Apple; (b): Peach
    Scatter plots of predicted vs. measured sugar content(a): Apple; (b): Peach
    Fig. 6. Scatter plots of predicted vs. measured sugar content
    (a): Apple; (b): Peach
    水果集合样本数最小值
    /%
    最大值
    /%
    平均值
    /%
    标准差
    /%
    苹果校正集1008.4015.2512.561.35
    预测集407.9014.3512.611.36
    大桃校正集11010.5016.8012.731.01
    预测集409.6014.5012.701.05
    Table 1. Statistics of fruit sugar content measurement
    Shu-xiang FAN, Qing-yan WANG, Yu-sen YANG, Jiang-bo LI, Chi ZHANG, Xi TIAN, Wen-qian HUANG. Development and Experiment of a Handheld Visible/Near Infrared Device for Nondestructive Determination of Fruit Sugar Content[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3058
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