Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor (2021)
- Authors:
- USP affiliated authors: CICERO, SILVIO MOURE - ESALQ ; GOMES JUNIOR, FRANCISCO GUILHIEN - ESALQ ; SILVA, MÁRCIO SOUZA DA - ESALQ
- Unidade: ESALQ
- DOI: 10.1590/2317-1545v43245215
- Subjects: GERMINAÇÃO DE SEMENTES; MORFOLOGIA VEGETAL; PROCESSAMENTO DE IMAGENS; RAIZ; SEMENTES; TOMATE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Londrina, PR
- Date published: 2021
- Source:
- Título: Journal of Seed Science
- ISSN: 2317-1545
- Volume/Número/Paginação/Ano: v. 43, art. e202143005, p. 1-9, 2021
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
OLIVEIRA, Gustavo Roberto Fonseca de et al. Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor. Journal of Seed Science, v. 43, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1590/2317-1545v43245215. Acesso em: 10 abr. 2026. -
APA
Oliveira, G. R. F. de, Salles, F. K. L. de, Batista, T. B., Silva, M. S. da, Cicero, S. M., & Gomes-Junior, F. G. (2021). Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor. Journal of Seed Science, 43, 1-9. doi:10.1590/2317-1545v43245215 -
NLM
Oliveira GRF de, Salles FKL de, Batista TB, Silva MS da, Cicero SM, Gomes-Junior FG. Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor [Internet]. Journal of Seed Science. 2021 ; 43 1-9.[citado 2026 abr. 10 ] Available from: https://doi.org/10.1590/2317-1545v43245215 -
Vancouver
Oliveira GRF de, Salles FKL de, Batista TB, Silva MS da, Cicero SM, Gomes-Junior FG. Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor [Internet]. Journal of Seed Science. 2021 ; 43 1-9.[citado 2026 abr. 10 ] Available from: https://doi.org/10.1590/2317-1545v43245215 - Computerized analysis of seedling performance in evaluating the phytotoxicity of chemical treatment of soybean seeds
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