The impact of exogenous variables on soybean freight: a machine learning analysis (2025)
Source: Sustainability. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), LOGÍSTICA, FRETE, SOJA
ABNT
MARSOLA, Karina Braga et al. The impact of exogenous variables on soybean freight: a machine learning analysis. Sustainability, v. 17, n. 3, p. 1-23, 2025Tradução . . Disponível em: https://doi.org/10.3390/su17031067. Acesso em: 08 nov. 2025.APA
Marsola, K. B., Oliveira, A. L. R. de, Utino, M. Y. R., Mann, P., & Conceição, T. C. O. da. (2025). The impact of exogenous variables on soybean freight: a machine learning analysis. Sustainability, 17( 3), 1-23. doi:10.3390/su17031067NLM
Marsola KB, Oliveira ALR de, Utino MYR, Mann P, Conceição TCO da. The impact of exogenous variables on soybean freight: a machine learning analysis [Internet]. Sustainability. 2025 ; 17( 3): 1-23.[citado 2025 nov. 08 ] Available from: https://doi.org/10.3390/su17031067Vancouver
Marsola KB, Oliveira ALR de, Utino MYR, Mann P, Conceição TCO da. The impact of exogenous variables on soybean freight: a machine learning analysis [Internet]. Sustainability. 2025 ; 17( 3): 1-23.[citado 2025 nov. 08 ] Available from: https://doi.org/10.3390/su17031067
