Quality assessment of coffee beans through computer vision and machine learning algorithms (2020)
Santos, Fernando Ferreira Lima dos; Rosas, Jorge Tadeu Fim 
; Martins, Rodrigo Nogueira; Araújo, Guilherme de Moura; Viana, Lucas de Arruda; Gonçalves, Juliano de Paula
Source: Coffee Science. Unidade: ESALQ
Subjects: ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL, CAFÉ, GRANULOMETRIA, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 nov. 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.1752NLM
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 nov. 10 ] Available from: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/1752Vancouver
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 nov. 10 ] Available from: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/1752
