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	Provedor de dados REA (2) AGRIAMBI (1) Autor Bezerra,Alan C. (3) Guiselini,Cristiane (3) Pandorfi,Héliton (3) Atarassi,Roberto T. (1) Barbosa Filho,José A. D. (1) Carvalho,Francisco F. R. E (1) Carvalho,Francisco F. R. de (1) Gama,Rafael M. (1) Lima,Thiago A. S. de (1) Vieira,Frederico M. C. (1) Mais... Palavra-chave Traceability (2) Animal identification (1) Computational vision (1) Expert system (1) Food safety (1) Goat and sheep meat production (1) Management system (1) Microclimate (1) Sheep production (1) Sweet pepper (1) Mais... Tipo do documento Info:eu-repo/semantics/article (3) Ano 2017 (2) 2016 (1) País Brazil (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última TECHNICAL EFFICIENCY AND IMPLEMENTATION COSTS OF SHEEP IDENTIFICATION SYSTEM REA Bezerra,Alan C.; Pandorfi,Héliton; Carvalho,Francisco F. R. E; Guiselini,Cristiane; Lima,Thiago A. S. de. ABSTRACT: The objective of this research was to characterize the efficiency and convenience of sheep identification system and its implementation costs. Therefore we quantified the time for implementation, reading and data transfer to a management program in a manual system (earrings) and electronic system (subcutaneous transponders). Furthermore, it was evaluated the implementation costs of the traceability systems by analysis of the absorption costs and comparison between systems. It was observed that the implementation time for the manual system was shorter (2.2 s animal−1) than the electronic system (4.67 s animal−1). As for reading time, the electronic system presented shorter time (2.89 s animal−1) than the manual system (4.67 s animal−1). As for the... Tipo: Info:eu-repo/semantics/article Palavras-chave: Animal identification; Sheep production; Traceability. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000501073 DEVELOPMENT OF A TRACEABILITY MODEL APPLIED TO GOAT AND SHEEP MEAT PRODUCTION REA Bezerra,Alan C.; Pandorfi,Héliton; Gama,Rafael M.; Carvalho,Francisco F. R. de; Guiselini,Cristiane. ABSTRACT: The goat and sheep meat producer chain has developed in last years, thus, it is imperative to organize and structure the supply chain and to adopt reliable policies for products' traceability, as a tool to achieve these requirements. The study aimed to make a management program with a traceability model for goat and sheep meat production, with emphasis on ensuring product origin and management practices' transparency at the animal production unit. For this purpose, it was made a reference model in order to emit an origin certificate which, in turn, provides specific information concerning the final product from each unit. Secondly, the program was developed using Hipertext Preprocessor (PHP) technology and as for the Database Management System,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Goat and sheep meat production; Traceability; Food safety; Management system. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000501062 Artificial neural networks employment in the prediction of evapotranspiration of greenhouse-grown sweet pepper AGRIAMBI Pandorfi,Héliton; Bezerra,Alan C.; Atarassi,Roberto T.; Vieira,Frederico M. C.; Barbosa Filho,José A. D.; Guiselini,Cristiane. ABSTRACT This study aimed to investigate the applicability of artificial neural networks (ANNs) in the prediction of evapotranspiration of sweet pepper cultivated in a greenhouse. The used data encompass the second crop cycle, from September 2013 to February 2014, constituting 135 days of daily meteorological data, referring to the following variables: temperature and relative air humidity, wind speed and solar radiation (input variables), as well as evapotranspiration (output variable), determined using data obtained by load-cell weighing lysimeter. The recorded data were divided into three sets for training, testing and validation. The ANN learning model recognized the evapotranspiration patterns with acceptable accuracy, with mean square error of 0.005,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Microclimate; Sweet pepper; Expert system; Computational vision. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600507 Registros recuperados: 3 Primeira ... 1 ... Última

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