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	Provedor de dados 89 (1) Autor Aami-Azghadi,M (1) Ahmadi,A (1) Golian,A (1) Sedghi,M (1) Soleimani-Roodi,P (1) Palavra-chave Image analysis (1) Neural network model (1) Sorghum grain (1) Tannin (1) Tipo do documento Info:eu-repo/semantics/article (1) Ano 2012 (1) País Brazil (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Relationship between color and tannin content in sorghum grain: application of image analysis and artificial neural network 89 Sedghi,M; Golian,A; Soleimani-Roodi,P; Ahmadi,A; Aami-Azghadi,M. The relationship between sorghum grain color and tannin content was reported in several references. In this study, 33 phenotypes of sorghum grain differing in seed characteristics were collected and analyzed by Folin-Ciocalteu method. A computer image analysis method was used to determine the color characteristics of all 33 sorghum phenotypes. Two methods of multiple linear regression and artificial neural network (ANN) models were developed to describe tannin content in sorghum grain from three input parameters of color characteristics. The goodness of fit of the models was tested using R², MS error, and bias. The computer image analysis technique was a suitable method to estimate tannin through sorghum grain color strength. Therefore, the color quality... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image analysis; Neural network model; Sorghum grain; Tannin. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2012000100010 Registros recuperados: 1 Primeira ... 1 ... Última

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