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A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms
Veloso GV,
de Mello DC,
Fernandes-Filho EI,
de Souza CMP,
da Silva LAP,
et al.
(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): e0343624.
https://doi.org/10.1371/journal.pone.0343624