A novel image-based approach for soybean seed phenotyping using machine learning techniques (2022)
Miranda, Melissa Cristina de Carvalho 
; Aono, Alexandre Hild; Pinheiro, José Baldin
Fonte: bioRxiv. Unidade: ESALQ
Assuntos: APRENDIZADO COMPUTACIONAL, FENÓTIPOS, MELHORAMENTO GENÉTICO VEGETAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, SEMENTES, SOJA
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MIRANDA, Melissa Cristina de Carvalho e AONO, Alexandre Hild e PINHEIRO, José Baldin. A novel image-based approach for soybean seed phenotyping using machine learning techniques. bioRxiv, p. 1-32 (preprint), 2022Tradução . . Disponível em: https://doi.org/10.1101/2022.10.10.511645. Acesso em: 23 nov. 2025.APA
Miranda, M. C. de C., Aono, A. H., & Pinheiro, J. B. (2022). A novel image-based approach for soybean seed phenotyping using machine learning techniques. bioRxiv, 1-32 (preprint). doi:10.1101/2022.10.10.511645NLM
Miranda MC de C, Aono AH, Pinheiro JB. A novel image-based approach for soybean seed phenotyping using machine learning techniques [Internet]. bioRxiv. 2022 ; 1-32 (preprint).[citado 2025 nov. 23 ] Available from: https://doi.org/10.1101/2022.10.10.511645Vancouver
Miranda MC de C, Aono AH, Pinheiro JB. A novel image-based approach for soybean seed phenotyping using machine learning techniques [Internet]. bioRxiv. 2022 ; 1-32 (preprint).[citado 2025 nov. 23 ] Available from: https://doi.org/10.1101/2022.10.10.511645
