Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: ALGORITMOS, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, ÍNDICE DE ÁREA FOLIAR, SENSORIAMENTO REMOTO, SIMULAÇÃO
ABNT
FATTORI JUNIOR, Izael Martins e MARIN, Fábio Ricardo. Assessing the influence of crop model structure on the performance of data assimilation for sugarcane. Computers and Electronics in Agriculture, v. 209, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2023.107848. Acesso em: 29 jun. 2024.APA
Fattori Junior, I. M., & Marin, F. R. (2023). Assessing the influence of crop model structure on the performance of data assimilation for sugarcane. Computers and Electronics in Agriculture, 209, 1-11. doi:10.1016/j.compag.2023.107848NLM
Fattori Junior IM, Marin FR. Assessing the influence of crop model structure on the performance of data assimilation for sugarcane [Internet]. Computers and Electronics in Agriculture. 2023 ; 209 1-11.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.compag.2023.107848Vancouver
Fattori Junior IM, Marin FR. Assessing the influence of crop model structure on the performance of data assimilation for sugarcane [Internet]. Computers and Electronics in Agriculture. 2023 ; 209 1-11.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.compag.2023.107848