Spectroscopy and Spectral Analysis, Volume. 42, Issue 6, 1907(2022)

Optimization of Online Determination Model for Sugar in a Whole Apple Using Full Transmittance Spectrum

Xi TIAN1,1; 2; 3;... Li-ping CHEN2,2; 3;, Qing-yan WANG2,2; 3;, Jiang-bo LI2,2; 3;, Yi YANG2,2; 3;, Shu-xiang FAN2,2; 3; and Wen-qian HUANG2,2; 3; *; |Show fewer author(s)
Author Affiliations
  • 11. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • 22. Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
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    Figures & Tables(9)
    Schematic of the on-line transmittance spectra measurement system
    Sugar prediction model based on different detection orientations
    The schematic diagram of different detection orientations(a): Different orientations; (b): Spectral collection positions; (c): Raw multi-point transmittance spectra
    Average spectral curves of a whole apple with three different detection orientations
    Spectral intensity changes at 920 nm for different detection orientations
    Dynamic curves of predictive model performance changing with spectral signal threshold in different detection orientations
    Dynamic curves of universal prediction model performance changing with spectral signal threshold in multiple orientations
    • Table 1. The detection result of restricted model

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      Table 1. The detection result of restricted model

      检测姿态预处理方法校正集预测集
      RcRMSEC
      /%
      T1T2T3
      RpRMSEP/%RPDRpRMSEP/%RPDRpRMSEP/%RPD
      T1Raw0.990.850.740.911.150.691.230.890.572.30.69
      Smoothing0.880.760.810.801.450.741.151.110.672.130.75
      SNV0.870.730.790.831.370.711.220.960.532.760.86
      MSC0.880.850.751.280.960.730.931.280.701.251.04
      T2Raw0.990.900.751.190.860.730.931.100.641.301.06
      Smoothing0.860.850.791.071.090.760.891.360.761.001.37
      SNV0.870.850.751.240.980.730.941.260.492.491.11
      MSC0.880.850.751.280.960.730.931.280.701.251.04
      T3Raw0.960.960.601.150.880.611.230.810.671.041.08
      Smoothing0.880.860.661.061.000.691.001.110.770.881.42
      SNV0.800.910.571.390.580.511.250.650.621.241.06
      MSC0.800.910.561.530.740.491.360.860.621.261.06
    • Table 2. The detection result of universal model

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      Table 2. The detection result of universal model

      预处理方法校正集预测集
      RcRMSEC
      /%
      T1T2T3
      RpRMSEP/%RPDRpRMSEP/%RPDRpRMSEP/%RPD
      Raw0.940.830.770.861.200.780.851.260.770.861.32
      Smoothing0.830.790.780.851.230.760.871.270.790.841.48
      SNV0.800.870.701.020.940.651.070.890.671.201.34
      MSC0.830.800.740.921.220.690.981.150.701.031.31
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    Xi TIAN, Li-ping CHEN, Qing-yan WANG, Jiang-bo LI, Yi YANG, Shu-xiang FAN, Wen-qian HUANG. Optimization of Online Determination Model for Sugar in a Whole Apple Using Full Transmittance Spectrum[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1907

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    Paper Information

    Category: Research Articles

    Received: May. 31, 2021

    Accepted: --

    Published Online: Nov. 14, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)06-1907-08

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