Xiang-jun ZHONG, Li YANG, Dong-xing ZHANG, Tao CUI, Xian-tao HE, Zhao-hui DU. Prediction of Organic Matter Content in Sandy Fluvo-Aquic Soil by Visible-Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2924

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- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 9, 2924 (2022)

Fig. 1. Spectral data acquisition device
1: PC; 2: Multifunctional testing platform; 3: Standard white plate; 4: Fiber probe; 5: NIR Quest; 6: QE Pro; 7: Soil samples; 8: Light source
1: PC; 2: Multifunctional testing platform; 3: Standard white plate; 4: Fiber probe; 5: NIR Quest; 6: QE Pro; 7: Soil samples; 8: Light source

Fig. 2. Outlier filtering results of MCCV method

Fig. 3. Spectral reflectance curves

Fig. 4. Results of different methods of screening characteristic variables
(a): Variables selected by CARS method; (b): The distribution of variables selected by CARS; (c): Variables selected by SPA method; (d): The distribution of variables selected by SPA; (e): Variables selected by CARS-SPA method; (f): The distribution of variables selected by CARS-SPA; (g): The distribution of variables selected by UVE; (h): The distribution of variables selected by VCPA
(a): Variables selected by CARS method; (b): The distribution of variables selected by CARS; (c): Variables selected by SPA method; (d): The distribution of variables selected by SPA; (e): Variables selected by CARS-SPA method; (f): The distribution of variables selected by CARS-SPA; (g): The distribution of variables selected by UVE; (h): The distribution of variables selected by VCPA

Fig. 5. Modeling results of PLSR using different variables
(a): All-PLSR; (b): CARS-PLSR; (c): SPA-PLSR; (d)CARS-SPA-PLSR; (e): UVE-PLSR; (f): VCPA-PLSR
(a): All-PLSR; (b): CARS-PLSR; (c): SPA-PLSR; (d)CARS-SPA-PLSR; (e): UVE-PLSR; (f): VCPA-PLSR
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Table 1. Statistics of SOM content

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