| Autor: |
Bruno dos Anjos Bartsch, Nicolas Augusto Rosin, Uemeson José dos Santos, João Augusto Coblinski, Marcelo H. P. Pelegrino, Jorge Tadeu Fim Rosas, Raul Roberto Poppiel, Ednilson Batista Ortiz, Viviane Cristina Vivian Kochinki, Paulo Gallo, Eyal Ben Dor, Renan Falcioni, Marcos Rafael Nanni, João Vitor Ferreira Gonçalves, Caio Almeida de Oliveira, Nicole Ghinzelli Vedana Vedana, Renato Herrig Furlanetto, José A. M. Demattê |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Remote Sensing, Vol 16, Iss 23, p 4543 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2072-4292 |
| DOI: |
10.3390/rs16234543 |
| Popis: |
The 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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