Amaro, Rafaella Pironato 
; Todoroff, Pierre; Christina, Mathias; Duft, Daniel Garbellini; Luciano, Ana Cláudia dos Santos
Fonte: Computers and Electronics in Agriculture. Unidades: FFLCH, ESALQ
Assuntos: AGROCLIMATOLOGIA, ALGORITMOS, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE
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AMARO, Rafaella Pironato et al. Performance evaluation of Sentinel-2 imagery, agronomic and climatic data for sugarcane yield estimation. Computers and Electronics in Agriculture, v. 237, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2025.110522. Acesso em: 15 nov. 2025.APA
Amaro, R. P., Todoroff, P., Christina, M., Duft, D. G., & Luciano, A. C. dos S. (2025). Performance evaluation of Sentinel-2 imagery, agronomic and climatic data for sugarcane yield estimation. Computers and Electronics in Agriculture, 237, 1-14. doi:10.1016/j.compag.2025.110522NLM
Amaro RP, Todoroff P, Christina M, Duft DG, Luciano AC dos S. Performance evaluation of Sentinel-2 imagery, agronomic and climatic data for sugarcane yield estimation [Internet]. Computers and Electronics in Agriculture. 2025 ; 237 1-14.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2025.110522Vancouver
Amaro RP, Todoroff P, Christina M, Duft DG, Luciano AC dos S. Performance evaluation of Sentinel-2 imagery, agronomic and climatic data for sugarcane yield estimation [Internet]. Computers and Electronics in Agriculture. 2025 ; 237 1-14.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2025.110522
