• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 9, 2781 (2022)
Yan-de LIU*, Jun LIAO, Bin LI, Xiao-gang JIANG, Ming-wang ZHU, Jin-liang YAO, and Qiu WANG
Author Affiliations
  • School of Electromechanical and Vehicle Engineering, East China Jiaotong University, Institute of Intelligent Electromechanical Equipment Innovation, Nanchang 330013, China
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    DOI: 10.3964/j.issn.1000-0593(2022)09-2781-07 Cite this Article
    Yan-de LIU, Jun LIAO, Bin LI, Xiao-gang JIANG, Ming-wang ZHU, Jin-liang YAO, Qiu WANG. Robustness of Global Model of Soluble Solids in Gongli Pear Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2781 Copy Citation Text show less
    Schematic diagram of on-line detection equipment for fruit internal quality by near infrared diffuse transmission spectroscopy1: Porximity switch; 2: Coding mask; 3: Chain wheel; 4: Link chain; 5: Optica fiber; 6: Camera bellows; 7: Optical source; 8: Specimen; 9: Terminal PC; 10: PLC control cabinet; 11: Fruit cup; 12: Bionic boot; 13: Grading export; 14: Electromotor; 15: Reducer; 16: Drive sprocket
    Fig. 1. Schematic diagram of on-line detection equipment for fruit internal quality by near infrared diffuse transmission spectroscopy
    1: Porximity switch; 2: Coding mask; 3: Chain wheel; 4: Link chain; 5: Optica fiber; 6: Camera bellows; 7: Optical source; 8: Specimen; 9: Terminal PC; 10: PLC control cabinet; 11: Fruit cup; 12: Bionic boot; 13: Grading export; 14: Electromotor; 15: Reducer; 16: Drive sprocket
    Diffuse transmission testing mechanism (a), Gongli placement position (b)
    Fig. 2. Diffuse transmission testing mechanism (a), Gongli placement position (b)
    Establishment of local model and global model and experimental verification scheme
    Fig. 3. Establishment of local model and global model and experimental verification scheme
    Average spectra of fruit No.11 in six directions
    Fig. 4. Average spectra of fruit No.11 in six directions
    Scatter plot of omnidirectional verification
    Fig. 5. Scatter plot of omnidirectional verification
    ParameterData setSamplesMeanS.DRange
    SSC/
    (°Brix)
    Calibration11512.061.059.53~14.70
    Prediction3512.090.939.60~13.37
    Table 1. Range, standard deviation and average value of SSC content in calibration set and prediction set
    OrientationPretreatmentCalibrationPrediction
    RcRMSECRpRMSEP
    A1Raw0.9160.4060.8700.456
    SGS0.8700.4970.8730.453
    MSC0.8860.4680.8390.503
    GFS0.8980.4430.8730.452
    A2Raw0.9870.1510.8980.327
    SGS0.9550.2800.8690.374
    MSC0.9380.3270.8790.398
    GFS0.9820.1750.8970.331
    A3Raw0.9220.3770.9190.363
    SGS0.9000.4240.8560.339
    MSC0.9130.3970.8850.315
    GFS0.9130.3970.8720.342
    A4Raw0.9610.2780.8710.399
    SGS0.9220.3870.8830.375
    MSC0.9650.2620.8650.402
    GFS0.9500.3110.8800.386
    A5Raw0.9450.3010.8630.384
    SGS0.8920.4140.8460.407
    MSC0.9320.3330.8960.344
    GFS0.9300.3370.8590.389
    A6Raw0.8350.5270.7940.508
    SGS0.8250.5420.7940.509
    MSC0.9100.4020.7620.542
    GFS0.8310.5340.7940.508
    Table 2. Local model and local prediction effect in six directions
    OrientationPretreatmentLVsCalibrationPrediction
    A1A2A3
    RcRMSECRpRMSEPRpRMSEPRpRMSEP
    OmnidirectionalRaw160.8440.4060.8100.4970.7660.5230.7920.479
    GFS160.8280.4240.8180.4460.7650.5250.7990.478
    Table 3. Global model and prediction effect of A3, A4 and A5 directions
    OrientationPretreatmentLVsCalibrationPrediction
    A4A5A6
    RcRMSECRpRMSEPRpRMSEPRpRMSEP
    OmnidirectionalRaw160.8440.4060.8010.5380.7850.4920.8210.612
    GFS160.8280.4240.8210.5380.7940.4860.8240.619
    Table 4. Global model and prediction effect of A4, A5 and A6 directions
    OrientationLVsCalibrationPrediction
    A1A2A3
    RcRMSECRpRMSEPRpRMSEPRpRMSEP
    Omnidirectional160.8280.4240.8180.4460.7650.5250.7990.478
    A1130.8980.4430.8730.4520.1821.4310.7310.816
    A2140.9820.175NA0.3360.8970.3310.7650.914
    A390.9130.397NA13.972NA3.4930.8720.342
    A4120.9500.3110.3280.4100.5321.7350.8140.545
    A5140.9300.337NA0.1340.5521.0580.7970.633
    A670.8310.5340.3480.330NA1.1330.7940.056
    Table 5. Prediction effects of local model and global model on A1, A2 and A3 direction validation sets
    OrientationLVsCalibrationPrediction
    A4A5A6
    RcRMSECRpRMSEPRpRMSEPRpRMSEP
    Omnidirectional160.8280.4240.8210.5380.7940.4860.8240.619
    A1130.8980.4430.6840.7670.4901.0150.3720.089
    A2140.9820.175NA1.196NA2.024NA1.618
    A390.9130.3970.7140.7910.4711.5640.7090.820
    A4120.9500.3110.8800.3860.1532.1440.1901.946
    A5140.9300.3370.7520.6500.8590.3890.7220.659
    A670.8310.5340.7280.6320.8270.5370.7940.508
    Table 6. Prediction effects of local model and global model on A4, A5 and A6 direction validation sets
    Yan-de LIU, Jun LIAO, Bin LI, Xiao-gang JIANG, Ming-wang ZHU, Jin-liang YAO, Qiu WANG. Robustness of Global Model of Soluble Solids in Gongli Pear Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2781
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