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Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study
In precision agriculture, the estimation of soil parameters via sensors and the creation of nutrient maps are a prerequisite for farmers to take targeted measures such as spatially resolved fertilization. In this work, 68 soil samples uniformly distributed over a field near Bonn are investigated usi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459606/ https://www.ncbi.nlm.nih.gov/pubmed/37631715 http://dx.doi.org/10.3390/s23167178 |
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author | Erler, Alexander Riebe, Daniel Beitz, Toralf Löhmannsröben, Hans-Gerd Leenen, Mathias Pätzold, Stefan Ostermann, Markus Wójcik, Michal |
author_facet | Erler, Alexander Riebe, Daniel Beitz, Toralf Löhmannsröben, Hans-Gerd Leenen, Mathias Pätzold, Stefan Ostermann, Markus Wójcik, Michal |
author_sort | Erler, Alexander |
collection | PubMed |
description | In precision agriculture, the estimation of soil parameters via sensors and the creation of nutrient maps are a prerequisite for farmers to take targeted measures such as spatially resolved fertilization. In this work, 68 soil samples uniformly distributed over a field near Bonn are investigated using laser-induced breakdown spectroscopy (LIBS). These investigations include the determination of the total contents of macro- and micronutrients as well as further soil parameters such as soil pH, soil organic matter (SOM) content, and soil texture. The applied LIBS instruments are a handheld and a platform spectrometer, which potentially allows for the single-point measurement and scanning of whole fields, respectively. Their results are compared with a high-resolution lab spectrometer. The prediction of soil parameters was based on multivariate methods. Different feature selection methods and regression methods like PLS, PCR, SVM, Lasso, and Gaussian processes were tested and compared. While good predictions were obtained for Ca, Mg, P, Mn, Cu, and silt content, excellent predictions were obtained for K, Fe, and clay content. The comparison of the three different spectrometers showed that although the lab spectrometer gives the best results, measurements with both field spectrometers also yield good results. This allows for a method transfer to the in-field measurements. |
format | Online Article Text |
id | pubmed-10459606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104596062023-08-27 Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study Erler, Alexander Riebe, Daniel Beitz, Toralf Löhmannsröben, Hans-Gerd Leenen, Mathias Pätzold, Stefan Ostermann, Markus Wójcik, Michal Sensors (Basel) Article In precision agriculture, the estimation of soil parameters via sensors and the creation of nutrient maps are a prerequisite for farmers to take targeted measures such as spatially resolved fertilization. In this work, 68 soil samples uniformly distributed over a field near Bonn are investigated using laser-induced breakdown spectroscopy (LIBS). These investigations include the determination of the total contents of macro- and micronutrients as well as further soil parameters such as soil pH, soil organic matter (SOM) content, and soil texture. The applied LIBS instruments are a handheld and a platform spectrometer, which potentially allows for the single-point measurement and scanning of whole fields, respectively. Their results are compared with a high-resolution lab spectrometer. The prediction of soil parameters was based on multivariate methods. Different feature selection methods and regression methods like PLS, PCR, SVM, Lasso, and Gaussian processes were tested and compared. While good predictions were obtained for Ca, Mg, P, Mn, Cu, and silt content, excellent predictions were obtained for K, Fe, and clay content. The comparison of the three different spectrometers showed that although the lab spectrometer gives the best results, measurements with both field spectrometers also yield good results. This allows for a method transfer to the in-field measurements. MDPI 2023-08-15 /pmc/articles/PMC10459606/ /pubmed/37631715 http://dx.doi.org/10.3390/s23167178 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Erler, Alexander Riebe, Daniel Beitz, Toralf Löhmannsröben, Hans-Gerd Leenen, Mathias Pätzold, Stefan Ostermann, Markus Wójcik, Michal Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study |
title | Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study |
title_full | Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study |
title_fullStr | Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study |
title_full_unstemmed | Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study |
title_short | Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture—A Case Study |
title_sort | mobile laser-induced breakdown spectroscopy for future application in precision agriculture—a case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459606/ https://www.ncbi.nlm.nih.gov/pubmed/37631715 http://dx.doi.org/10.3390/s23167178 |
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