ReP USP - Resultado da busca

Artigo de periodico
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: 05 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.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 nov. 05 ] 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 nov. 05 ] Available from: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/1752
Artigo de periodico
Low-cost system for radiometric calibration of UAV-based multispectral imagery (2020)
Rosas, Jorge Tadeu Fim; Pinto, F. D. A. de Carvalho; Queiroz, D. M. D; Villar, F. M. de Melo; Martins, R. N; Silva, S. D. A
Source: Journal of Spatial Science. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, ANÁLISE ESPECTRAL, CAFÉ, COLHEITA, IMAGEM DIGITAL, SENSORES ÓPTICOS, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSAS, Jorge Tadeu Fim et al. Low-cost system for radiometric calibration of UAV-based multispectral imagery. Journal of Spatial Science, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1080/14498596.2020.1860146. Acesso em: 05 nov. 2024.
APA
Rosas, J. T. F., Pinto, F. D. A. de C., Queiroz, D. M. D., Villar, F. M. de M., Martins, R. N., & Silva, S. D. A. (2020). Low-cost system for radiometric calibration of UAV-based multispectral imagery. Journal of Spatial Science, 1-15. doi:10.1080/14498596.2020.1860146
NLM
Rosas JTF, Pinto FDA de C, Queiroz DMD, Villar FM de M, Martins RN, Silva SDA. Low-cost system for radiometric calibration of UAV-based multispectral imagery [Internet]. Journal of Spatial Science. 2020 ; 1-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/14498596.2020.1860146
Vancouver
Rosas JTF, Pinto FDA de C, Queiroz DMD, Villar FM de M, Martins RN, Silva SDA. Low-cost system for radiometric calibration of UAV-based multispectral imagery [Internet]. Journal of Spatial Science. 2020 ; 1-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/14498596.2020.1860146
Artigo de periodico
Enhancement of antioxidant properties from green coffee as promising ingredient for food and cosmetic industries (2018)
Palmieri, Miguel Gontijo Siqueira; Cruz, Lucas Taffarel; Bertges, Filipe Soares; Húngaro, Humberto Moreira; Batista, Luís Roberto; Silva, Silvio Silverio da; Fonseca, Maria José Vieira; Rodarte, Mirian Pereira; Vilela, Fernanda Maria Pinto; Amaral, Maria da Penha Henriques do
Source: Biocatalysis and Agricultural Biotechnology. Unidades: EEL, FCFRP
Subjects: CAFÉ, ANTIOXIDANTES, FERMENTAÇÃO, ASPERGILLUS, COMPOSTOS FENÓLICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PALMIERI, Miguel Gontijo Siqueira et al. Enhancement of antioxidant properties from green coffee as promising ingredient for food and cosmetic industries. Biocatalysis and Agricultural Biotechnology, v. 16, p. 43-48, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.bcab.2018.07.011. Acesso em: 05 nov. 2024.
APA
Palmieri, M. G. S., Cruz, L. T., Bertges, F. S., Húngaro, H. M., Batista, L. R., Silva, S. S. da, et al. (2018). Enhancement of antioxidant properties from green coffee as promising ingredient for food and cosmetic industries. Biocatalysis and Agricultural Biotechnology, 16, 43-48. doi:10.1016/j.bcab.2018.07.011
NLM
Palmieri MGS, Cruz LT, Bertges FS, Húngaro HM, Batista LR, Silva SS da, Fonseca MJV, Rodarte MP, Vilela FMP, Amaral M da PH do. Enhancement of antioxidant properties from green coffee as promising ingredient for food and cosmetic industries [Internet]. Biocatalysis and Agricultural Biotechnology. 2018 ; 16 43-48.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.bcab.2018.07.011
Vancouver
Palmieri MGS, Cruz LT, Bertges FS, Húngaro HM, Batista LR, Silva SS da, Fonseca MJV, Rodarte MP, Vilela FMP, Amaral M da PH do. Enhancement of antioxidant properties from green coffee as promising ingredient for food and cosmetic industries [Internet]. Biocatalysis and Agricultural Biotechnology. 2018 ; 16 43-48.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.bcab.2018.07.011

USP Schools

ReP

Filtros

Authors

Subjects

Non normalized affiliation