Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2924(2022)
Prediction of Organic Matter Content in Sandy Fluvo-Aquic Soil by Visible-Near Infrared Spectroscopy
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
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
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
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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
Category: Research Articles
Received: Aug. 4, 2021
Accepted: Nov. 19, 2021
Published Online: Nov. 17, 2022
The Author Email: ZHONG Xiang-jun (xjzhong1004@163.com)