Source: Geocarto International. Unidade: ESALQ
Subjects: SOLOS, VARIABILIDADE ESPACIAL, MAPEAMENTO DO SOLO, PRODUÇÃO AGRÍCOLA, AGRICULTURA SUSTENTÁVEL, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 08 out. 2024.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 2024 out. 08 ] 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 2024 out. 08 ] Available from: https://doi.org/10.1080/10106049.2021.1996639