Costa, João Pedro de Sousa; Sanches, Ieda Del’Arco; Silva, Luiz Gabriel da; Rabelo, Max Well de Oliveira; Luciano, Ana Cláudia dos Santos 
Fonte: Remote Sensing Applications: Society and Environment. Unidade: ESALQ
Assuntos: ALGORITMOS, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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COSTA, João Pedro de Sousa et al. Estimate of sugarcane productivity using machine learning algorithm from time series of WFI/CBERS-4 and WPM/CBERS-4A time series. Remote Sensing Applications: Society and Environment, v. 39, p. 1-27, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.rsase.2025.101689. Acesso em: 23 nov. 2025.APA
Costa, J. P. de S., Sanches, I. D. ’A., Silva, L. G. da, Rabelo, M. W. de O., & Luciano, A. C. dos S. (2025). Estimate of sugarcane productivity using machine learning algorithm from time series of WFI/CBERS-4 and WPM/CBERS-4A time series. Remote Sensing Applications: Society and Environment, 39, 1-27. doi:10.1016/j.rsase.2025.101689NLM
Costa JP de S, Sanches ID’A, Silva LG da, Rabelo MW de O, Luciano AC dos S. Estimate of sugarcane productivity using machine learning algorithm from time series of WFI/CBERS-4 and WPM/CBERS-4A time series [Internet]. Remote Sensing Applications: Society and Environment. 2025 ; 39 1-27.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1016/j.rsase.2025.101689Vancouver
Costa JP de S, Sanches ID’A, Silva LG da, Rabelo MW de O, Luciano AC dos S. Estimate of sugarcane productivity using machine learning algorithm from time series of WFI/CBERS-4 and WPM/CBERS-4A time series [Internet]. Remote Sensing Applications: Society and Environment. 2025 ; 39 1-27.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1016/j.rsase.2025.101689
