Source: AgriEngineering. Unidades: ESALQ, ICMC
Subjects: AGRICULTURA DE PRECISÃO, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, CAFÉ, IMAGEAMENTO DE SATÉLITE, SENSORIAMENTO REMOTO
ABNT
MARTELLO, Maurício et al. Coffee-yield estimation using high-resolution time-series satellite images and machine learning. AgriEngineering, v. 4, p. 888-902, 2022Tradução . . Disponível em: https://doi.org/10.3390/agriengineering4040057. Acesso em: 09 set. 2024.APA
Martello, M., Molin, J. P., Wei, M. C. F., Canal Filho, R., & Nicoletti, J. V. M. (2022). Coffee-yield estimation using high-resolution time-series satellite images and machine learning. AgriEngineering, 4, 888-902. doi:10.3390/agriengineering4040057NLM
Martello M, Molin JP, Wei MCF, Canal Filho R, Nicoletti JVM. Coffee-yield estimation using high-resolution time-series satellite images and machine learning [Internet]. AgriEngineering. 2022 ; 4 888-902.[citado 2024 set. 09 ] Available from: https://doi.org/10.3390/agriengineering4040057Vancouver
Martello M, Molin JP, Wei MCF, Canal Filho R, Nicoletti JVM. Coffee-yield estimation using high-resolution time-series satellite images and machine learning [Internet]. AgriEngineering. 2022 ; 4 888-902.[citado 2024 set. 09 ] Available from: https://doi.org/10.3390/agriengineering4040057