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	Provedor de dados CIGR Journal (1) Scientia Agricola (1) Autor Berbert,Pedro Amorim (1) Carlesso,Vinícius de Oliveira (1) Molina,Marília Berbert (1) Oliveira,Marcia Terezinha Ramos de (1) Omid, Mahmoud (1) Rashvand, Mahdi (1) Soltani, Mahmoud (1) Teimouri, Nima (1) Viana,Alexandre Pio (1) Mais... Palavra-chave Dielectric properties (2) Authentication (1) Automatic control (1) Bulk density (1) Data mining (1) Grain drying (1) Postharvest Engineering Olive oil (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2007 (1) País Brazil (1) China (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency Scientia Agricola Berbert,Pedro Amorim; Molina,Marília Berbert; Viana,Alexandre Pio; Carlesso,Vinícius de Oliveira; Oliveira,Marcia Terezinha Ramos de. Derivation of density-independent dielectric functions for moisture determination in grains is important for the implementation of on-line sensors in automated driers. The object of this study was to investigate the Meyer and Schilz function [(epsilon'1)/epsilon"] for indirect and non-destructive water content measurement of seeds of common bean by radiofrequency, where epsilon' and epsilon" are the relative permittivity and the dielectric loss factor, respectively. Samples consisted of common bean seeds variety Campeão-3 at moisture contents ranging from 11.5 to 20.6% w.b., and bulk densities from 756 to 854 kg m-3, performing dielectric measurements in a room at 20 ± 1ºC and 66 ± 2% relative humidity. The model could estimate common bean seed moisture... Tipo: Info:eu-repo/semantics/article Palavras-chave: Dielectric properties; Grain drying; Bulk density; Automatic control. Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000600002 Authentication of Virgin Olive Oil by Using Dielectric spectroscopy combined with Some Artificial Intelligence Methods CIGR Journal Soltani, Mahmoud; Rashvand, Mahdi; Teimouri, Nima; Omid, Mahmoud. Adulteration is a serious problem in the food industry. Olive oil is widely adulterated with other cheap edible oils such as sunflower and canola oils. Therefore, developing a low-cost, practical and rapid analytical method for detecting such adulteration in olive oil would be useful and needed.  In this research, we aimed to develop a dielectric measurement based system combined with complementary analytical intelligent techniques to recognize authentication of virgin olive oil from adulterated with vegetable oils (canola and sunflower). 192 sinusoidal signals in the range of 20 kHz and 20 MHz were feed into the cylindrical dielectric sensor filled with oil sample. Correlation based feature selection (CFS) was applied to select the most appropriate... Tipo: Info:eu-repo/semantics/article Palavras-chave: Postharvest Engineering Olive oil; Authentication; Dielectric properties; Data mining. Ano: 2019 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5483 Registros recuperados: 2 Primeira ... 1 ... Última

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