Silva, Roberto Fray da 
; Fava, Maria Clara ; Saraiva, Antonio Mauro ; Mendiondo, Eduardo Mario ; Cugnasca, Carlos Eduardo ; Delbem, Alexandre Cláudio Botazzo
Fonte: Engineering Proceedings. Nome do evento: EFITA International Conference. Unidades: EP, EESC, ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, MUDANÇA CLIMÁTICA, MONITORAMENTO AMBIENTAL, INTERNET DAS COISAS
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SILVA, Roberto Fray da et al. A theoretical framework for multi-Hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios. Engineering Proceedings. Basel: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.3390/engproc2021009039. Acesso em: 14 nov. 2024. , 2021APA
Silva, R. F. da, Fava, M. C., Saraiva, A. M., Mendiondo, E. M., Cugnasca, C. E., & Delbem, A. C. B. (2021). A theoretical framework for multi-Hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios. Engineering Proceedings. Basel: Escola Politécnica, Universidade de São Paulo. doi:10.3390/engproc2021009039NLM
Silva RF da, Fava MC, Saraiva AM, Mendiondo EM, Cugnasca CE, Delbem ACB. A theoretical framework for multi-Hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios [Internet]. Engineering Proceedings. 2021 ; 9( 1): 1-4.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/engproc2021009039Vancouver
Silva RF da, Fava MC, Saraiva AM, Mendiondo EM, Cugnasca CE, Delbem ACB. A theoretical framework for multi-Hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios [Internet]. Engineering Proceedings. 2021 ; 9( 1): 1-4.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/engproc2021009039
