Tiruneh, Gizachew Ayalew 
; Righi, Ciro Abbud ; Polizel, Jefferson Lordello ; Gonçalves, Vinicius ; Pereira, Carlos Rodrigues
Source: Trees, Forests and People. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, GEOESTATÍSTICA, MODELAGEM DE DADOS, SEQUESTRO DE CARBONO, SOLO FLORESTAL, USO DO SOLO
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TIRUNEH, Gizachew Ayalew et al. Modeling soil organic carbon in the Brazilian amazon with geostatistical and machine learning techniques. Trees, Forests and People, v. 23, p. 1-11, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.tfp.2026.101150. Acesso em: 02 mar. 2026.APA
Tiruneh, G. A., Righi, C. A., Polizel, J. L., Gonçalves, V., & Pereira, C. R. (2026). Modeling soil organic carbon in the Brazilian amazon with geostatistical and machine learning techniques. Trees, Forests and People, 23, 1-11. doi:10.1016/j.tfp.2026.101150NLM
Tiruneh GA, Righi CA, Polizel JL, Gonçalves V, Pereira CR. Modeling soil organic carbon in the Brazilian amazon with geostatistical and machine learning techniques [Internet]. Trees, Forests and People. 2026 ; 23 1-11.[citado 2026 mar. 02 ] Available from: https://doi.org/10.1016/j.tfp.2026.101150Vancouver
Tiruneh GA, Righi CA, Polizel JL, Gonçalves V, Pereira CR. Modeling soil organic carbon in the Brazilian amazon with geostatistical and machine learning techniques [Internet]. Trees, Forests and People. 2026 ; 23 1-11.[citado 2026 mar. 02 ] Available from: https://doi.org/10.1016/j.tfp.2026.101150
