APA (7th ed.) Citation

Veloso, G. V., de Mello, D. C., Fernandes-Filho, E. I., de Souza, C. M. P., da Silva, L. A. P., Santo, M. M. E., . . . Demattê, J. A. M. (2026). A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms. PLoS ONE, 21(5), 1. https://doi.org/10.1371/journal.pone.0343624

Chicago Style (17th ed.) Citation

Veloso, Gustavo Vieira, Danilo César de Mello, Elpídio Inácio Fernandes-Filho, Cristiano Marcelo Pereira de Souza, Lucas Augusto Pereira da Silva, Mario Marcos Espirito Santo, Gustavo Mattos Vasques, Maurício Rizzato Coelho, and José A. M. Demattê. "A Novel Methodological Framework for Predicting and Mapping Agriculture-related Soil Attributes Using Euclidean Distance, Regular Grids, and Machine Learning Algorithms." PLoS ONE 21, no. 5 (2026): 1. https://doi.org/10.1371/journal.pone.0343624.

MLA (9th ed.) Citation

Veloso, Gustavo Vieira, et al. "A Novel Methodological Framework for Predicting and Mapping Agriculture-related Soil Attributes Using Euclidean Distance, Regular Grids, and Machine Learning Algorithms." PLoS ONE, vol. 21, no. 5, 2026, p. 1, https://doi.org/10.1371/journal.pone.0343624.