Source: Soil and Tillage Research. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CARBONO, ESPECTROSCOPIA INFRAVERMELHA, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, SOLO ÁRIDO
ABNT
AZIZI, Kamran et al. Integrating proximal sensing data (soil spectra and magnetic susceptibility) with the common covariates to predict soil carbon pools in semiarid regions. Soil and Tillage Research, v. 256, p. 1-17, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.still.2025.106840. Acesso em: 26 nov. 2025.APA
Azizi, K., Zhao, S., Ayoubi, S., Kamangarpour, A., Nabiollahi, K., Ge, Y., et al. (2026). Integrating proximal sensing data (soil spectra and magnetic susceptibility) with the common covariates to predict soil carbon pools in semiarid regions. Soil and Tillage Research, 256, 1-17. doi:10.1016/j.still.2025.106840NLM
Azizi K, Zhao S, Ayoubi S, Kamangarpour A, Nabiollahi K, Ge Y, Zhao K, Rodrigo-Comino J, Demattê JAM. Integrating proximal sensing data (soil spectra and magnetic susceptibility) with the common covariates to predict soil carbon pools in semiarid regions [Internet]. Soil and Tillage Research. 2026 ; 256 1-17.[citado 2025 nov. 26 ] Available from: https://doi.org/10.1016/j.still.2025.106840Vancouver
Azizi K, Zhao S, Ayoubi S, Kamangarpour A, Nabiollahi K, Ge Y, Zhao K, Rodrigo-Comino J, Demattê JAM. Integrating proximal sensing data (soil spectra and magnetic susceptibility) with the common covariates to predict soil carbon pools in semiarid regions [Internet]. Soil and Tillage Research. 2026 ; 256 1-17.[citado 2025 nov. 26 ] Available from: https://doi.org/10.1016/j.still.2025.106840
