Interactive machine learning for soybean seed and seedling quality classification (2020)
Source: Scientific Reports. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, FISIOLOGIA VEGETAL, MUDAS, SEMENTES, SOJA
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MEDEIROS, André Dantas de et al. Interactive machine learning for soybean seed and seedling quality classification. Scientific Reports, v. 10, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41598-020-68273-y. Acesso em: 02 jun. 2024.APA
Medeiros, A. D. de, Capobiango, N. P., Silva, J. M. da, Silva, L. J. da, Silva, C. B. da, & Santos Dias, D. C. F. dos. (2020). Interactive machine learning for soybean seed and seedling quality classification. Scientific Reports, 10, 1-10. doi:10.1038/s41598-020-68273-yNLM
Medeiros AD de, Capobiango NP, Silva JM da, Silva LJ da, Silva CB da, Santos Dias DCF dos. Interactive machine learning for soybean seed and seedling quality classification [Internet]. Scientific Reports. 2020 ; 10 1-10.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1038/s41598-020-68273-yVancouver
Medeiros AD de, Capobiango NP, Silva JM da, Silva LJ da, Silva CB da, Santos Dias DCF dos. Interactive machine learning for soybean seed and seedling quality classification [Internet]. Scientific Reports. 2020 ; 10 1-10.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1038/s41598-020-68273-y