A machine learning-based approach for prediction of plant protection product deposition (2017)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2017.26
- Subjects: APRENDIZADO COMPUTACIONAL; AGRICULTURA DE PRECISÃO
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2017
- Source:
- Título: Proceedings
- Volume/Número/Paginação/Ano: 978153862407
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 06 fev. 2026. -
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 2026 fev. 06 ] 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 2026 fev. 06 ] Available from: https://doi.org/10.1109/BRACIS.2017.26 - Gabinete pequeno é destaque de pc itautec
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Informações sobre o DOI: 10.1109/BRACIS.2017.26 (Fonte: oaDOI API)
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