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Artigo de periodico
DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage (2021)
Machado, Bruno Brandoli ; Spadon, Gabriel ; Esau, Travis ; Hennessy, Patrick ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Amer-Yahia, Sihem ; Rodrigues Junior, José Fernando
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: COMPUTAÇÃO MÓVEL, PROCESSAMENTO DE IMAGENS, AGRICULTURA DE PRECISÃO, PESTICIDAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Bruno Brandoli et al. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture, v. 180, n. Ja 2021, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105906. Acesso em: 10 nov. 2024.
APA
Machado, B. B., Spadon, G., Esau, T., Hennessy, P., Carvalho, A. C. P. de L. F. de, Amer-Yahia, S., & Rodrigues Junior, J. F. (2021). DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture, 180( Ja 2021), 1-9. doi:10.1016/j.compag.2020.105906
NLM
Machado BB, Spadon G, Esau T, Hennessy P, Carvalho ACP de LF de, Amer-Yahia S, Rodrigues Junior JF. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage [Internet]. Computers and Electronics in Agriculture. 2021 ; 180( Ja 2021): 1-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.compag.2020.105906
Vancouver
Machado BB, Spadon G, Esau T, Hennessy P, Carvalho ACP de LF de, Amer-Yahia S, Rodrigues Junior JF. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage [Internet]. Computers and Electronics in Agriculture. 2021 ; 180( Ja 2021): 1-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.compag.2020.105906
Trabalho de evento
A smartphone application to measure the quality of pest control spraying machines via image analysis (2018)
Machado, Bruno Brandoli; Spadon, Gabriel; Arruda, Mauro S; Gonçalves, Wesley N; Carvalho, André Carlos Ponce de Leon Ferreira de ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, COMPUTAÇÃO MÓVEL, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Bruno Brandoli et al. A smartphone application to measure the quality of pest control spraying machines via image analysis. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3167132.3167192. Acesso em: 10 nov. 2024.
APA
Machado, B. B., Spadon, G., Arruda, M. S., Gonçalves, W. N., Carvalho, A. C. P. de L. F. de, & Rodrigues Junior, J. F. (2018). A smartphone application to measure the quality of pest control spraying machines via image analysis. In Proceedings. New York: ACM. doi:10.1145/3167132.3167192
NLM
Machado BB, Spadon G, Arruda MS, Gonçalves WN, Carvalho ACP de LF de, Rodrigues Junior JF. A smartphone application to measure the quality of pest control spraying machines via image analysis [Internet]. Proceedings. 2018 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1145/3167132.3167192
Vancouver
Machado BB, Spadon G, Arruda MS, Gonçalves WN, Carvalho ACP de LF de, Rodrigues Junior JF. A smartphone application to measure the quality of pest control spraying machines via image analysis [Internet]. Proceedings. 2018 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1145/3167132.3167192
Artigo de periodico
An adaptive approach for UAV-based pesticide spraying in dynamic environments (2017)
Faiçal, Bruno S; Freitas, Heitor; Gomes, Pedro H; Mano, Leandro Y; Pessin, Gustavo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Krishnamachari, Bhaskar; Ueyama, Jó
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S et al. An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, v. 138, p. 210-223, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.04.011. Acesso em: 10 nov. 2024.
APA
Faiçal, B. S., Freitas, H., Gomes, P. H., Mano, L. Y., Pessin, G., Carvalho, A. C. P. de L. F. de, et al. (2017). An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, 138, 210-223. doi:10.1016/j.compag.2017.04.011
NLM
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Vancouver
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Trabalho de evento
A machine learning-based approach for prediction of plant protection product deposition (2017)
Junior, Carlos R. G; Gomes, Pedro H; Mano, Leandro Y; Oliveira, Roney B. de; Carvalho, André Carlos Ponce de Leon Ferreira de ; Faiçal, Bruno S
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JUNIOR, Carlos R. G et al. A machine learning-based approach for prediction of plant protection product deposition. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/BRACIS.2017.26. Acesso em: 10 nov. 2024.
APA
Junior, C. R. G., Gomes, P. H., Mano, L. Y., Oliveira, R. B. de, Carvalho, A. C. P. de L. F. de, & Faiçal, B. S. (2017). A machine learning-based approach for prediction of plant protection product deposition. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2017.26
NLM
Junior CRG, Gomes PH, Mano LY, Oliveira RB de, Carvalho ACP de LF de, Faiçal BS. A machine learning-based approach for prediction of plant protection product deposition [Internet]. Proceedings. 2017 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/BRACIS.2017.26
Vancouver
Junior CRG, Gomes PH, Mano LY, Oliveira RB de, Carvalho ACP de LF de, Faiçal BS. A machine learning-based approach for prediction of plant protection product deposition [Internet]. Proceedings. 2017 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/BRACIS.2017.26

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