Classification of scenery using multinomial logistic regression in a sugarcane crop (2022)
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidade: EESC
Assuntos: REGRESSÃO LOGÍSTICA, MÁQUINAS AGRÍCOLAS, ROBÔS, SISTEMA DE POSICIONAMENTO GLOBAL, ENGENHARIA MECÂNICA
ABNT
BONACINI, Leonardo et al. Classification of scenery using multinomial logistic regression in a sugarcane crop. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970. Acesso em: 16 ago. 2024.APA
Bonacini, L., Peres, H. E. N. P., Higuti, V. A., Medeiros, V. S., Becker, M., & Tronco, M. L. (2022). Classification of scenery using multinomial logistic regression in a sugarcane crop. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995970NLM
Bonacini L, Peres HENP, Higuti VA, Medeiros VS, Becker M, Tronco ML. Classification of scenery using multinomial logistic regression in a sugarcane crop [Internet]. Proceedings. 2022 ;[citado 2024 ago. 16 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970Vancouver
Bonacini L, Peres HENP, Higuti VA, Medeiros VS, Becker M, Tronco ML. Classification of scenery using multinomial logistic regression in a sugarcane crop [Internet]. Proceedings. 2022 ;[citado 2024 ago. 16 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970