Data/hora: 06/06/2024 05:32:48

Provedor de dados: 	1	
País: 	Brazil	
Título: 	Image analysis of coffee seeds submitted to the LERCAFE test	
Autores: 	Ribeiro, Bárbara Gomes; Abrahão, Christovão Pereira; Nery, Marcela Carlota; Nascimento, Rodrigo Marques; Rezende, Juliana Costa; Fialho, Cíntia Maria Teixeira.	
Data: 	2016-06-24	
Ano: 	2016	
Palavras-chave: 	5.00.00.00-4; 5.01.00.00-9; 5.01.03.00-8; 5.01.03.03-2 determinants functions; Sodium hypochlorite; Pixels Produção e Beneficiamento de Sementes.	
Resumo: 	The aim of this experiment was to quantify the stained areas of coffee seeds submitted to the LERCAFE test using image analysis. The seeds used were of the Catuaí Vermelho IAC 99 and Paradise cultivars. The physiological quality of the lots was assessed using germination tests, moisture content and a germination speed index. The LERCAFE test was conducted using seeds without parchment immersed in a solution of 3% sodium hypochlorite for 3 hours. Color photographs (RGB) with a resolution of 5 MPx were taken of each seed. The seeds were visually evaluated, and the functions generated from the analyses of the stained and non-stained regions were quantified by the Matlab R2009b program. Classification models were developed based on the Fisher Linear Discriminant Function and the evaluation of the adequacy of the models confusion matrix between the visual references and the classification generated by the linear functions. The image analysis for the creation of Fisher’s linear discriminant function in the development of classifiers for the coffee seeds submitted to the LERCAFE test is potentially efficient; however, it remains necessary to test other discriminant functions and quantification methodologies. 	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28268

10.4025/actasciagron.v38i3.28268	
Editor: 	Universidade Estadual de Maringá	
Relação: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28268/pdf	
Formato: 	application/pdf	
Fonte: 	Acta Scientiarum. Agronomy; v. 38, n. 3 (2016); 355-361

Acta Scientiarum. Agronomy; v. 38, n. 3 (2016); 355-361

1807-8621

1679-9275