UAV route planning for active disease classification (2019)
Source: Autonomous Robots. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, AERONAVES NÃO TRIPULADAS, OTIMIZAÇÃO MATEMÁTICA
ABNT
VIVALDINI, Kelen C. T. et al. UAV route planning for active disease classification. Autonomous Robots, v. 43, p. 1137-1153, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10514-018-9790-x. Acesso em: 26 ago. 2024.APA
Vivaldini, K. C. T., Martinelli, T. H., Guizilini, V. C., Souza, J. R., Oliveira, M. D. C., Ramos, F., & Wolf, D. F. (2019). UAV route planning for active disease classification. Autonomous Robots, 43, 1137-1153. doi:10.1007/s10514-018-9790-xNLM
Vivaldini KCT, Martinelli TH, Guizilini VC, Souza JR, Oliveira MDC, Ramos F, Wolf DF. UAV route planning for active disease classification [Internet]. Autonomous Robots. 2019 ; 43 1137-1153.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s10514-018-9790-xVancouver
Vivaldini KCT, Martinelli TH, Guizilini VC, Souza JR, Oliveira MDC, Ramos F, Wolf DF. UAV route planning for active disease classification [Internet]. Autonomous Robots. 2019 ; 43 1137-1153.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s10514-018-9790-x