Source: European Journal of Soil Science. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CARBONO, ESPECTROSCOPIA INFRAVERMELHA, SOLOS
ABNT
MA, Yuxin et al. Incorporating soil knowledge into machine‐learning prediction of soil properties from soil spectra. European Journal of Soil Science, v. 74, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1111/ejss.13438. Acesso em: 21 ago. 2024.APA
Ma, Y., Minasny, B., Demattê, J. A. M., & McBratney, A. B. (2023). Incorporating soil knowledge into machine‐learning prediction of soil properties from soil spectra. European Journal of Soil Science, 74, 1-13. doi:10.1111/ejss.13438NLM
Ma Y, Minasny B, Demattê JAM, McBratney AB. Incorporating soil knowledge into machine‐learning prediction of soil properties from soil spectra [Internet]. European Journal of Soil Science. 2023 ; 74 1-13.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1111/ejss.13438Vancouver
Ma Y, Minasny B, Demattê JAM, McBratney AB. Incorporating soil knowledge into machine‐learning prediction of soil properties from soil spectra [Internet]. European Journal of Soil Science. 2023 ; 74 1-13.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1111/ejss.13438