Source: Soil & Tillage Research. Unidade: ESALQ
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA, MODELOS MATEMÁTICOS, SOLOS
ABNT
BENIAICH, Adnane et al. Enhancing soil property predictions using spectral fusion: comparisons between outer product analysis and vector concatenation and among modeling algorithms. Soil & Tillage Research, v. 251, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.still.2025.106546. Acesso em: 28 nov. 2025.APA
Beniaich, A., Terra, F. S., Demattê, J. A. M., Horák-Terra, I., Martins, J. K. D., & Sousa-Baracho, I. P. (2025). Enhancing soil property predictions using spectral fusion: comparisons between outer product analysis and vector concatenation and among modeling algorithms. Soil & Tillage Research, 251, 1-13. doi:10.1016/j.still.2025.106546NLM
Beniaich A, Terra FS, Demattê JAM, Horák-Terra I, Martins JKD, Sousa-Baracho IP. Enhancing soil property predictions using spectral fusion: comparisons between outer product analysis and vector concatenation and among modeling algorithms [Internet]. Soil & Tillage Research. 2025 ; 251 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.still.2025.106546Vancouver
Beniaich A, Terra FS, Demattê JAM, Horák-Terra I, Martins JKD, Sousa-Baracho IP. Enhancing soil property predictions using spectral fusion: comparisons between outer product analysis and vector concatenation and among modeling algorithms [Internet]. Soil & Tillage Research. 2025 ; 251 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.still.2025.106546
