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Parte de monografia/livro
Shape analysis of plant leaves using complex networks for species identification (2017)
Casanova, Dalcimar; Silva, Núbia Rosa da; Cordeiro, Douglas Farias; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Biological shape analysis: Proceedings of the 4th International Symposium. Unidade: IFSC
Subjects: FRACTAIS, CIÊNCIA DA COMPUTAÇÃO, GEOMETRIA DIFERENCIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Dalcimar et al. Shape analysis of plant leaves using complex networks for species identification. Biological shape analysis: Proceedings of the 4th International Symposium. Tradução . Singapura: World Scientific, 2017. . Disponível em: https://doi.org/10.1142/9789813225701_0003. Acesso em: 10 nov. 2024.
APA
Casanova, D., Silva, N. R. da, Cordeiro, D. F., Kolb, R. M., & Bruno, O. M. (2017). Shape analysis of plant leaves using complex networks for species identification. In Biological shape analysis: Proceedings of the 4th International Symposium. Singapura: World Scientific. doi:10.1142/9789813225701_0003
NLM
Casanova D, Silva NR da, Cordeiro DF, Kolb RM, Bruno OM. Shape analysis of plant leaves using complex networks for species identification [Internet]. In: Biological shape analysis: Proceedings of the 4th International Symposium. Singapura: World Scientific; 2017. [citado 2024 nov. 10 ] Available from: https://doi.org/10.1142/9789813225701_0003
Vancouver
Casanova D, Silva NR da, Cordeiro DF, Kolb RM, Bruno OM. Shape analysis of plant leaves using complex networks for species identification [Internet]. In: Biological shape analysis: Proceedings of the 4th International Symposium. Singapura: World Scientific; 2017. [citado 2024 nov. 10 ] Available from: https://doi.org/10.1142/9789813225701_0003
Parte de monografia/livro
Evaluation of the artificial vision system to diagnose potassium status in maize plants (2014)
Romualdo, Liliane Maria; Luz, Pedro Henrique de Cerqueira; Silva, Fernanda de Fátima da; Marin, Mário Antônio; Herling, Valdo Rodrigues; Bruno, Odemir Martinez ; Zuniga, Alvaro Gomez
Source: Technological advancement for vibrant agriculture. Unidades: FZEA, IFSC
Subjects: MILHO, POTÁSSIO, METABOLISMO VEGETAL, NUTRIÇÃO VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROMUALDO, Liliane Maria et al. Evaluation of the artificial vision system to diagnose potassium status in maize plants. Technological advancement for vibrant agriculture. Tradução . Athens: Athens Institute for Education and Research, 2014. . . Acesso em: 10 nov. 2024.
APA
Romualdo, L. M., Luz, P. H. de C., Silva, F. de F. da, Marin, M. A., Herling, V. R., Bruno, O. M., & Zuniga, A. G. (2014). Evaluation of the artificial vision system to diagnose potassium status in maize plants. In Technological advancement for vibrant agriculture. Athens: Athens Institute for Education and Research.
NLM
Romualdo LM, Luz PH de C, Silva F de F da, Marin MA, Herling VR, Bruno OM, Zuniga AG. Evaluation of the artificial vision system to diagnose potassium status in maize plants. In: Technological advancement for vibrant agriculture. Athens: Athens Institute for Education and Research; 2014. [citado 2024 nov. 10 ]
Vancouver
Romualdo LM, Luz PH de C, Silva F de F da, Marin MA, Herling VR, Bruno OM, Zuniga AG. Evaluation of the artificial vision system to diagnose potassium status in maize plants. In: Technological advancement for vibrant agriculture. Athens: Athens Institute for Education and Research; 2014. [citado 2024 nov. 10 ]
Trabalho de evento
Evaluation of artificial vision system to diagnose potassium status in maize plants (2012)
Romualdo, Liliane Maria; Luz, Pedro Henrique de Cerqueira; Silva, Fernanda de Fátima da; Marin, Mário Antonio; Herling, Valdo Rodrigues; Bruno, Odemir Martinez ; Zuniga, Alvaro Gomez
Source: ATINER conference paper series. Conference titles: Annual International Symposium on Agriculture. Unidades: FZEA, IFSC
Subjects: NUTRIÇÃO VEGETAL, DEFICIÊNCIAS MINERAIS DE PLANTAS, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROMUALDO, Liliane Maria et al. Evaluation of artificial vision system to diagnose potassium status in maize plants. 2012, Anais.. Athens: Athens Institute for Education and Research, 2012. Disponível em: http://www.atiner.gr/papers/AGR2012-0344.pdf. Acesso em: 10 nov. 2024.
APA
Romualdo, L. M., Luz, P. H. de C., Silva, F. de F. da, Marin, M. A., Herling, V. R., Bruno, O. M., & Zuniga, A. G. (2012). Evaluation of artificial vision system to diagnose potassium status in maize plants. In ATINER conference paper series. Athens: Athens Institute for Education and Research. Recuperado de http://www.atiner.gr/papers/AGR2012-0344.pdf
NLM
Romualdo LM, Luz PH de C, Silva F de F da, Marin MA, Herling VR, Bruno OM, Zuniga AG. Evaluation of artificial vision system to diagnose potassium status in maize plants [Internet]. ATINER conference paper series. 2012 ;[citado 2024 nov. 10 ] Available from: http://www.atiner.gr/papers/AGR2012-0344.pdf
Vancouver
Romualdo LM, Luz PH de C, Silva F de F da, Marin MA, Herling VR, Bruno OM, Zuniga AG. Evaluation of artificial vision system to diagnose potassium status in maize plants [Internet]. ATINER conference paper series. 2012 ;[citado 2024 nov. 10 ] Available from: http://www.atiner.gr/papers/AGR2012-0344.pdf

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