2023
DOI: 10.3390/agriculture13061237
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Estimation of Soil Cations Based on Visible and Near-Infrared Spectroscopy and Machine Learning

Abstract: Soil exchange cations are a basic indicator of soil quality and environmental clean-up potential. The accurate and efficient acquisition of information on soil cation content is of great importance for the monitoring of soil quality and pollution prevention. At present, few scholars focus on soil exchangeable cations using remote sensing technology. This study proposes a new method for estimating soil cation content using hyperspectral data. In particular, we introduce Boruta and successive projection (SPA) al… Show more

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Cited by 4 publications
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“…Vis-NIR can reflect the overtones and combinations of basic molecular vibrations, such as clear responses to functional groups like C=O, N=H, and O=H. Many scholars have explored the prediction of soil parameters using Vis-NIR technology and achieved good results [20][21][22], for instance, the physical and chemical properties of soil and the composition of minerals, including TN [23], SOM [14], soil moisture [24], organic carbon [25], soil exchangeable cations [26], and the soil adsorption coefficient of glyphosate [27]. However, there are differences in Vis-NIR prediction models in different regions due to regional differences in soil types and physicochemical properties, surface cover, and climate.…”
Section: Introductionmentioning
confidence: 99%
“…Vis-NIR can reflect the overtones and combinations of basic molecular vibrations, such as clear responses to functional groups like C=O, N=H, and O=H. Many scholars have explored the prediction of soil parameters using Vis-NIR technology and achieved good results [20][21][22], for instance, the physical and chemical properties of soil and the composition of minerals, including TN [23], SOM [14], soil moisture [24], organic carbon [25], soil exchangeable cations [26], and the soil adsorption coefficient of glyphosate [27]. However, there are differences in Vis-NIR prediction models in different regions due to regional differences in soil types and physicochemical properties, surface cover, and climate.…”
Section: Introductionmentioning
confidence: 99%