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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The objective was to verify the performance of spectral techniques as well as validation models in the prediction of nitrogen, total organic carbon, and humic fractions under different cultivation conditions. Chemical analyses for the determination of nitrate, total nitrogen, total organic carbon, and the chemical fractionation of soil organic matter were performed, as well as spectral analyses by Vis-NIR-SWIR and X-ray fluorescence. The results of the spectroscopy were processed using RStudio v. 4.1.3, and PLSR and support vector machine learning algorithms were applied to validate the models. The Vis-NIR-SWIR and XRF spectroscopic techniques showed high performance and are indicated for the prediction of nitrogen, total organic carbon, and humic fractions in Ferralsols of medium sandy texture. However, it is important to highlight that each technique has its own characteristic mechanism of action: Vis-NIR-SWIR detects the element based on harmonic tones, while XRF is based on the atomic number of the element or elemental association. The PLSR and SVM models showed excellent validation results, allowing them to fit the experimental data, emphasizing that they are different statistical methods.

Details

Title
The Use of Vis-NIR-SWIR Spectroscopy and X-ray Fluorescence in the Development of Predictive Models: A Step forward in the Quantification of Nitrogen, Total Organic Carbon and Humic Fractions in Ferralsols
Author
Bruna Coelho de Lima 1   VIAFID ORCID Logo  ; Demattê, José A M 2   VIAFID ORCID Logo  ; dos Santos, Carlos H 1 ; Tiritan, Carlos S 1 ; Poppiel, Raul R 2   VIAFID ORCID Logo  ; Nanni, Marcos R 3   VIAFID ORCID Logo  ; Falcioni, Renan 3   VIAFID ORCID Logo  ; de Oliveira, Caio A 3 ; Vedana, Nicole G 3 ; Zimmermann, Guilherme 3 ; Reis, Amanda S 3 

 Department of Soil, Campus II, University of Oeste Paulista, Presidente Prudente 19067-175, SP, Brazil; [email protected] (C.H.d.S.); [email protected] (C.S.T.) 
 Department of Soil Science, “Luiz de Queiroz” College of Agriculture, University of São Paulo, Piracicaba 13416-900, SP, Brazil; [email protected] (J.A.M.D.); [email protected] (R.R.P.) 
 Department of Agronomy, State University of Maringá, Maringá 87020-900, PR, Brazil; [email protected] (M.R.N.); [email protected] (R.F.); [email protected] (C.A.d.O.); [email protected] (N.G.V.); [email protected] (G.Z.); [email protected] (A.S.R.) 
First page
3009
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20724292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3098191715
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.