Naimi, Salman 
; Ayoubi, Shamsollah ; Demattê, José Alexandre Melo ; Zeraatpisheh, Mojtaba ; Amorim, Merilyn Taynara Accorsi ; Mello, Fellipe Alcântara de Oliveira
Fonte: Geocarto International. Unidade: ESALQ
Assuntos: SOLOS, VARIABILIDADE ESPACIAL, MAPEAMENTO DO SOLO, PRODUÇÃO AGRÍCOLA, AGRICULTURA SUSTENTÁVEL, SENSORIAMENTO REMOTO
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NAIMI, Salman et al. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning. Geocarto International, 2021Tradução . . Disponível em: https://doi.org/10.1080/10106049.2021.1996639. Acesso em: 16 nov. 2025.APA
Naimi, S., Ayoubi, S., Demattê, J. A. M., Zeraatpisheh, M., Amorim, M. T. A., & Mello, F. A. de O. (2021). Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning. Geocarto International. doi:10.1080/10106049.2021.1996639NLM
Naimi S, Ayoubi S, Demattê JAM, Zeraatpisheh M, Amorim MTA, Mello FA de O. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning [Internet]. Geocarto International. 2021 ;[citado 2025 nov. 16 ] Available from: https://doi.org/10.1080/10106049.2021.1996639Vancouver
Naimi S, Ayoubi S, Demattê JAM, Zeraatpisheh M, Amorim MTA, Mello FA de O. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning [Internet]. Geocarto International. 2021 ;[citado 2025 nov. 16 ] Available from: https://doi.org/10.1080/10106049.2021.1996639
