Source: Soil Security. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CAATINGA, CERRADO, ESPECTROSCOPIA INFRAVERMELHA, METAL PESADO DO SOLO, MONITORAMENTO AMBIENTAL, SOLO TROPICAL, TOXICIDADE DO SOLO
ABNT
SARAIVA, Paloma Cunha et al. Estimating potentially toxic elements in Brazilian tropical soils with vis-NIR spectroscopy and machine learning. Soil Security, v. 21, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.soisec.2025.100217. Acesso em: 04 jan. 2026.APA
Saraiva, P. C., Mendes, W. de S., Nascimento, C. W. A. do, Morais, P. G. C. de, Cardoso, K. M., Nascimento, C. C., et al. (2025). Estimating potentially toxic elements in Brazilian tropical soils with vis-NIR spectroscopy and machine learning. Soil Security, 21, 1-8. doi:10.1016/j.soisec.2025.100217NLM
Saraiva PC, Mendes W de S, Nascimento CWA do, Morais PGC de, Cardoso KM, Nascimento CC, Demattê JAM, Boechat CL. Estimating potentially toxic elements in Brazilian tropical soils with vis-NIR spectroscopy and machine learning [Internet]. Soil Security. 2025 ; 21 1-8.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1016/j.soisec.2025.100217Vancouver
Saraiva PC, Mendes W de S, Nascimento CWA do, Morais PGC de, Cardoso KM, Nascimento CC, Demattê JAM, Boechat CL. Estimating potentially toxic elements in Brazilian tropical soils with vis-NIR spectroscopy and machine learning [Internet]. Soil Security. 2025 ; 21 1-8.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1016/j.soisec.2025.100217
