A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods

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dc.contributor.authorAnjos Bartsch, Bruno
dc.contributor.authorRosin, Nicolas Augusto
dc.contributor.authorSantos, Uemeson José
dc.contributor.authorCoblinski, João Augusto
dc.contributor.authorPelegrino, Marcelo
dc.contributor.authorFim Rosas, Jorge Tadeu
dc.contributor.authorPoppiel, Raul Roberto
dc.contributor.authorOrtiz, Ednilson
dc.contributor.authorKochinki, Viviana
dc.contributor.authorGallo, Paulo
dc.contributor.authorBen Dor, Eyal
dc.contributor.authorFalcioni, Renan
dc.contributor.authorNanni, Marcos Rafael
dc.contributor.authorGonçalves, João
dc.contributor.authorAlmeida de Oliveira, Caio
dc.contributor.authorVedana, Nicole
dc.contributor.authorHerrig Furlanetto, Renato
dc.contributor.authorDemattê, José
dc.date.accessioned2024-12-04T13:36:41Z
dc.date.available2024-12-04T13:36:41Z
dc.date.issued2024-12-04
dc.description.abstractThe need to maintain soil health and produce more food worldwide has increased, and soil analysis is essential for its management. Although spectroscopy has emerged as an important tool, it is important to focus primarily on predictive modeling procedures rather than specific protocols. This article aims to contribute to a routine work sequence in a hybrid laboratory that seeks to provide the best data for its users. In this study, 18,730 soil samples from the state of Paraná, Brazil, were analyzed using three different laboratories, sensors and geometries for data acquisition. Thirty soil properties were analyzed, some using different chemical methodologies for comparison purposes. After a spectral reading, two literary protocols were applied, and the final prediction results were observed. We applied cubist models, which were the best for our population. The combination of different spectral analysis systems, with a standardized protocol using LB for the ISS detection of discrepant samples, was shown to significantly improve the accuracy of predictions for 21 of the 30 soil properties analyzed, highlighting the importance of choosing the extraction methodology and improving data quality, which have a significant impact on laboratory analyses, reaffirming spectroscopy as an essential tool for the efficient and sustainable management of soil resources.
dc.description.sponsorshipThe National Council for Scientific and Technological Development: Programa de Apoio à Fixação de Jovens Doutores no Brasil 168180/2022-7; Fundação Araucária: CP 19/2022—Jovens Doutores; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior: 001; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP pn 2021/05129-8 for sensor financial support; and CEAGRE—Centro de Excelência em Agricultura Exponencial for financial support.
dc.identifier.citationRemote Sens. 2024, 16, 4543
dc.identifier.doi10.3390/rs16234543
dc.identifier.issn2072-4292
dc.identifier.urihttps://bc.iung.pl/handle/123456789/2454
dc.language.isoen
dc.publisherRemote Sensing - MDPI
dc.relation.ispartofseries16; 4543
dc.subjectlaboratory spectroscopy
dc.subjectpedometrics
dc.subjectsoil quality
dc.subjectspectral standardization soil analysis
dc.titleA Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods
dc.typeArticle
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