• Optics and Precision Engineering
  • Vol. 32, Issue 11, 1773 (2024)
Yuanyuan LIU1, Yu SUN1, Xuebing GAO1, Libin WANG3..., Yueyong WANG2,*, Mengqi LIU1 and Shuran CUI4|Show fewer author(s)
Author Affiliations
  • 1College of Information Technology(Institute of Intelligent Agriculture), Jilin Agricultural University, Changchun308, China
  • 2College of Engineering and Technology, Jilin Agricultural University, Changchun130118, China
  • 3Changchun Agricultural Machinery Research Institute, Changchun10052, China
  • 4Jilin Agricultural Machinery Research Institute, Changchun130022, China
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    DOI: 10.37188/OPE.20243211.1773 Cite this Article
    Yuanyuan LIU, Yu SUN, Xuebing GAO, Libin WANG, Yueyong WANG, Mengqi LIU, Shuran CUI. Establishment and optimization of aerial multispectral field straw mulch quantity inversion model[J]. Optics and Precision Engineering, 2024, 32(11): 1773 Copy Citation Text show less
    Overview of research area
    Fig. 1. Overview of research area
    Experimental process for determination of staw mulch quantity
    Fig. 2. Experimental process for determination of staw mulch quantity
    UAV route planning and multi-spectral camera whiteboard calibration
    Fig. 3. UAV route planning and multi-spectral camera whiteboard calibration
    Calculation process of GA-PSO hybrid algorithm
    Fig. 4. Calculation process of GA-PSO hybrid algorithm
    Correlation coefficients between multi-spectral variables and straw mulch quantity in different periods
    Fig. 5. Correlation coefficients between multi-spectral variables and straw mulch quantity in different periods
    Scatter plot of measured versus and predicted values for different data
    Fig. 6. Scatter plot of measured versus and predicted values for different data
    Comparison of different evolutionary curves
    Fig. 7. Comparison of different evolutionary curves
    Scatter plot of measured versus and predicted values for optimized model
    Fig. 8. Scatter plot of measured versus and predicted values for optimized model
    Comparison of corn straw mulch quantity estimates at sampling sites
    Fig. 9. Comparison of corn straw mulch quantity estimates at sampling sites
    Spectral indexFormulaReference
    NDVINDVI=(NIR-R)/(NIR+R)28
    DVIDVI=NIR-R29
    SRSR=NIR/R30
    GNDVIGNDVI=(NIR-G)/(NIR+G)31
    SMISMI=NIR×(NIR-G)×(R-G)32
    SRRESRRE=RE/NIR30
    NDRENDRE=(NIR-RE)/(NIR+RE)33
    RNDIRNDI=(RE-R)/(RE+R)33
    Table 1. Spectral index and its formula
    Data setSampleStudy area 1Study area 2Mean/kgMin/kgMax/kgStandard deviation/kg
    AutumnSpringSpring
    Modeling set1264242420.2480.1200.3730.066
    Validation set632121210.2250.0730.3950.067
    Table 2. Description of modeling set and validation set
    Multi-spectral variableStudy area 1 |r|Study area 2 |r|
    B0.347 7*0.36*
    G0.330 2*0.345 6*
    R0.445 8**0.437 8**
    RE0.438 6**0.439 2**
    NIR0.401 6**0.398**
    NDVI0.555 4***0.558 9***
    DVI0.530 5***0.505 9***
    SR0.577 6***0.560 6***
    GNDVI0.506 6***0.533 8***
    SMI0.344 5*0.328 3*
    SRER0.607 5***0.610 7***
    NDRE0.558 1***0.553 2***
    RNDI0.481 1**0.479**
    Table 3. Correlation coefficients between multi-spectral variables and straw mulch quantity in different study areas
    Model algorithmVariable groupModeling setValidation set
    R2cRMSEcR2vRMSEv
    SVMBand group0.450.0780.360.086
    Spectral index group0.510.0720.500.081
    All variable group0.580.0700.470.071
    RFBand group0.640.0660.670.061
    Spectral index group0.660.0590.690.056
    All variable group0.650.0650.640.060
    BPNNBand group0.420.0760.350.087
    Spectral index group0.550.0680.470.073
    All variable group0.590.0720.450.075
    ELMBand group0.580.0700.330.088
    Spectral index group0.650.0600.470.082
    All variable group0.630.0630.430.076
    Table 4. Machine learning models based on different sets of variables
    Research areaArea/hm2Ms/tEs/tAs/%Es/%
    Study area 1, autumn2.5517.95216.52491.367.95
    Study area 1, spring2.5515.57214.07689.379.61
    Study area 2, spring211.36012.58790.2510.80
    Table 5. Estimation of straw mulch quantity in study area
    Yuanyuan LIU, Yu SUN, Xuebing GAO, Libin WANG, Yueyong WANG, Mengqi LIU, Shuran CUI. Establishment and optimization of aerial multispectral field straw mulch quantity inversion model[J]. Optics and Precision Engineering, 2024, 32(11): 1773
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