Quality assessment of coffee beans through computer vision and machine learning algorithms (2020)
- Authors:
- Autor USP: ROSAS, JORGE TADEU FIM - ESALQ
- Unidade: ESALQ
- DOI: 10.25186/.v15i.1752
- Subjects: ALGORITMOS PARA IMAGENS; APRENDIZADO COMPUTACIONAL; CAFÉ; GRANULOMETRIA; REDES NEURAIS; VISÃO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Coffee Science
- ISSN: 1984-3909
- Volume/Número/Paginação/Ano: v. 15, p. 1-9, 2020
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SANTOS, Fernando Ferreira Lima dos et al. Quality assessment of coffee beans through computer vision and machine learning algorithms. Coffee Science, v. 15, p. 1-9, 2020Tradução . . Disponível em: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/1752. Acesso em: 16 abr. 2024. -
APA
Santos, F. F. L. dos, Rosas, J. T. F., Martins, R. N., Araújo, G. de M., Viana, L. de A., & Gonçalves, J. de P. (2020). Quality assessment of coffee beans through computer vision and machine learning algorithms. Coffee Science, 15, 1-9. doi:10.25186/.v15i.1752 -
NLM
Santos FFL dos, Rosas JTF, Martins RN, Araújo G de M, Viana L de A, Gonçalves J de P. Quality assessment of coffee beans through computer vision and machine learning algorithms [Internet]. Coffee Science. 2020 ; 15 1-9.[citado 2024 abr. 16 ] Available from: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/1752 -
Vancouver
Santos FFL dos, Rosas JTF, Martins RN, Araújo G de M, Viana L de A, Gonçalves J de P. Quality assessment of coffee beans through computer vision and machine learning algorithms [Internet]. Coffee Science. 2020 ; 15 1-9.[citado 2024 abr. 16 ] Available from: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/1752 - Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera
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Informações sobre o DOI: 10.25186/.v15i.1752 (Fonte: oaDOI API)
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