Changchun Institute of Optics,Fine Mechanics and Physics,CAS
| Prediction of soil properties based on characteristic wavelengths with optimal spectral resolution by using Vis-NIR spectroscopy | |
| B. Yu, C. Yan, J. Yuan, N. Ding and Z. Chen | |
| 2023 | |
| 发表期刊 | Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
 |
| ISSN | 13861425 |
| 卷号 | 293 |
| 摘要 | Visible and near-infrared (Vis-NIR) spectroscopy technique has been recognized as a cost-effective, rapid, non-destructive alternative to traditional soil physicochemical analysis to estimate soil properties over the past few decades. Most efforts are devoted to the selection of characteristic wavelengths to eliminate the uninformative variables while ignoring the impact of the spectral resolution of these wavelengths on the prediction accuracy of soil properties. Therefore, the originality of this study is to identify the characteristic wavelengths with the optimal spectral resolution to achieve a better prediction performance. A 'two-step' wavelength selection method was proposed to select the characteristic wavelengths. Then, we simulated 1 nm–100 nm spectral resolution based on the spectral database measured by a portable ASD spectroradiometer and adopted the artificial bee colony (ABC) algorithm to further improve the prediction ability by configuring the most appropriate spectral resolution for each characteristic wavelength. The soil databases for this study consisted of 112 soil samples collected from Songnen Plain area in northeast China, and partial least squares regression (PLSR) was used to establish relations between pretreatment spectra and soil properties, including soil organic matter (SOM), available phosphorus (AP), and available potassium (AK). The independent validation results of this strategy effectively favored the prediction accuracy of SOM (RMSEp=2.758,R2p=0.857,RPIQp=4.579), AP (RMSEp=0.062,R2p=0.790,RPIQp=3.552), and AK (RMSEp=0.366,R2p=0.758,RPIQp=2.525) compared with the PLSR models developed with full-spectra. In general, the method presented in this study suggested a framework for selecting characteristic wavelengths with optimal spectral solutions to predict SOM, AP, AK, and perhaps some other soil properties. The results of this paper also will provide guidance for the development of the low-cost specialized spectroscopic instruments for soil properties measurement. © 2023 The Author(s) |
| DOI | 10.1016/j.saa.2023.122452 |
| URL | 查看原文 |
| 收录类别 | sci ; ei |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ciomp.ac.cn/handle/181722/68103 |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | B. Yu, C. Yan, J. Yuan, N. Ding and Z. Chen. Prediction of soil properties based on characteristic wavelengths with optimal spectral resolution by using Vis-NIR spectroscopy[J]. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy,2023,293. |
| APA | B. Yu, C. Yan, J. Yuan, N. Ding and Z. Chen.(2023).Prediction of soil properties based on characteristic wavelengths with optimal spectral resolution by using Vis-NIR spectroscopy.Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy,293. |
| MLA | B. Yu, C. Yan, J. Yuan, N. Ding and Z. Chen."Prediction of soil properties based on characteristic wavelengths with optimal spectral resolution by using Vis-NIR spectroscopy".Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy 293(2023). |
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