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	Provedor de dados CIGR Journal (1) AgEcon (1) Autor Ehsani, Reza (1) Resende Filho, Moises de Andrade (1) Sankaran, Sindhuja (1) Palavra-chave USA. (2) Agribusiness (1) Agricultural engineering Disease detection (1) Animal identification system (1) C22 (1) Classification (1) Food safety (1) K-nearest neighbor (1) Meat industry (1) Q11 (1) Q13 (1) Q18. (1) Quadratic discriminant analysis (1) System of demand equations (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal Article (1) Ano 2013 (1) 2008 (1) País China (1) United States (1) Idioma Inglês (1) Português (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Potenciais benefícios do sistema de rastreabilidade animal dos EUA para o setor de carnes americano AgEcon Resende Filho, Moises de Andrade. This article investigates the potential gains to the U.S. meat sector with the implantation of the U.S. National Animal Identification System (NAIS). The focus is on the effect that the NAIS could have on consumers’ risk perception about eating meat. System of demand equations are estimated using time series of food safety indexes variables used as proxies for consumers’ reactions to news on meat safety issues. The series of food safety indexes are built on the basis of the number of food safety news reported in top U.S. newspapers. Using the preferred model estimates, three scenarios are constructed in order to account for the cases wherein the NAIS is not implemented, is implemented only for beef and is implemented for beef and pork. The differences in... Tipo: Journal Article Palavras-chave: Animal identification system; Food safety; System of demand equations; Meat industry; USA.; Agribusiness; C22; Q11; Q13; Q18.. Ano: 2008 URL: http://purl.umn.edu/61199 Comparison of visible-near infrared and mid-infrared spectroscopy for classification of Huanglongbing and citrus canker infected leaves CIGR Journal Sankaran, Sindhuja; Ehsani, Reza. In this study, visible-near infrared spectroscopy and mid-infrared spectroscopy were compared to evaluate their applicability in classifying citrus leaves infected with canker and HLB from healthy citrus leaves.  The visible-near infrared spectra in the range 350-2,500 nm and mid-infrared spectra in the range of 5.15-10.72 µm were collected from healthy and diseased (canker, HLB) leaves.  Following the spectral data collection, the data were preprocessed and classification was performed using two classifiers, quadratic discriminant analysis (QDA) and k-nearest neighbor (kNN).  The classifiers (QDA, kNN) resulted in an average overall and individual class classification accuracy of about 90% or more.  Mid-infrared spectroscopy provided high classification... Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural engineering Disease detection; Classification; Quadratic discriminant analysis; K-nearest neighbor; USA.. Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2469 Registros recuperados: 2 Primeira ... 1 ... Última

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