Assessing the influence of crop model structure on the performance of data assimilation for sugarcane (2023)
- Authors:
- USP affiliated authors: MARIN, FÁBIO RICARDO - ESALQ ; FATTORI JUNIOR, IZAEL MARTINS - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.compag.2023.107848
- Subjects: ALGORITMOS; CANA-DE-AÇÚCAR; IMAGEAMENTO DE SATÉLITE; ÍNDICE DE ÁREA FOLIAR; SENSORIAMENTO REMOTO; SIMULAÇÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers and Electronics in Agriculture
- ISSN: 0168-1699
- Volume/Número/Paginação/Ano: v. 209, art. 107848, p. 1-11, 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 11 nov. 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.2023.107848 -
NLM
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 nov. 11 ] Available from: https://doi.org/10.1016/j.compag.2023.107848 -
Vancouver
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 nov. 11 ] Available from: https://doi.org/10.1016/j.compag.2023.107848 - Assimilating leaf area index data into a sugarcane process-based crop model for improving yield estimation
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Informações sobre o DOI: 10.1016/j.compag.2023.107848 (Fonte: oaDOI API)
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