A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms.
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| Title: | A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms. |
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| Authors: | Veloso, Gustavo Vieira1 (AUTHOR) gustavo.v.veloso@gmail.com, de Mello, Danilo César2 (AUTHOR), Fernandes-Filho, Elpídio Inácio1 (AUTHOR), de Souza, Cristiano Marcelo Pereira3 (AUTHOR), da Silva, Lucas Augusto Pereira4 (AUTHOR), Santo, Mario Marcos Espirito5 (AUTHOR), Vasques, Gustavo Mattos6 (AUTHOR), Coelho, Maurício Rizzato6 (AUTHOR), Demattê, José A. M.2 (AUTHOR) |
| Source: | PLoS ONE. 5/11/2026, Vol. 21 Issue 5, p1-30. 30p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 19326203 |
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| DOI: | 10.1371/journal.pone.0343624 |
