Detection, classification, and mapping of coffee fruits during harvest with computer vision (2021)
- Authors:
- USP affiliated authors: MOLIN, JOSE PAULO - ESALQ ; BAZAME, HELIZANI COUTO - ESALQ ; MARTELLO, MAURÍCIO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.compag.2021.106066
- Subjects: AGRICULTURA DE PRECISÃO; APRENDIZADO COMPUTACIONAL; CAFÉ; COLHEITA; MATURAÇÃO VEGETAL; REDES NEURAIS; VISÃO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers and Electronics in Agriculture
- ISSN: 0168-1699
- Volume/Número/Paginação/Ano: v. 183, art. 106066, p. 1-11, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BAZAME, Helizani Couto et al. Detection, classification, and mapping of coffee fruits during harvest with computer vision. Computers and Electronics in Agriculture, v. 183, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106066. Acesso em: 28 dez. 2025. -
APA
Bazame, H. C., Molin, J. P., Althoff, D., & Martello, M. (2021). Detection, classification, and mapping of coffee fruits during harvest with computer vision. Computers and Electronics in Agriculture, 183, 1-11. doi:10.1016/j.compag.2021.106066 -
NLM
Bazame HC, Molin JP, Althoff D, Martello M. Detection, classification, and mapping of coffee fruits during harvest with computer vision [Internet]. Computers and Electronics in Agriculture. 2021 ; 183 1-11.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.compag.2021.106066 -
Vancouver
Bazame HC, Molin JP, Althoff D, Martello M. Detection, classification, and mapping of coffee fruits during harvest with computer vision [Internet]. Computers and Electronics in Agriculture. 2021 ; 183 1-11.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.compag.2021.106066 - Obtaining and validating high-density coffee yield data
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Informações sobre o DOI: 10.1016/j.compag.2021.106066 (Fonte: oaDOI API)
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