Interactive machine learning for soybean seed and seedling quality classification (2020)
- Authors:
- Autor USP: SILVA, CLÍSSIA BARBOZA DA - ESALQ
- Unidade: ESALQ
- DOI: 10.1038/s41598-020-68273-y
- Subjects: APRENDIZADO COMPUTACIONAL; FISIOLOGIA VEGETAL; MUDAS; SEMENTES; SOJA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientific Reports
- ISSN: 2045-2322
- Volume/Número/Paginação/Ano: v. 10, art. 11267, p. 1-10, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
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: 23 jan. 2026. -
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-y -
NLM
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 2026 jan. 23 ] Available from: https://doi.org/10.1038/s41598-020-68273-y -
Vancouver
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 2026 jan. 23 ] Available from: https://doi.org/10.1038/s41598-020-68273-y - Condicionamento fisiológico de sementes de pimentão com biorreguladores
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Informações sobre o DOI: 10.1038/s41598-020-68273-y (Fonte: oaDOI API)
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