Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency

Detalhes bibliográficos
Autor(a) principal: Berbert,Pedro Amorim
Data de Publicação: 2007
Outros Autores: Molina,Marília Berbert, Viana,Alexandre Pio, Carlesso,Vinícius de Oliveira, Oliveira,Marcia Terezinha Ramos de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000600002
Resumo: 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 content with a standard error of the estimate, and maximum error of 0.5 and 1.0 percentage point in moisture, w.b., respectively.
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spelling Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequencydielectric propertiesgrain dryingbulk densityautomatic controlDerivation 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 content with a standard error of the estimate, and maximum error of 0.5 and 1.0 percentage point in moisture, w.b., respectively.Escola Superior de Agricultura "Luiz de Queiroz"2007-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000600002Scientia Agricola v.64 n.6 2007reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162007000600002info:eu-repo/semantics/openAccessBerbert,Pedro AmorimMolina,Marília BerbertViana,Alexandre PioCarlesso,Vinícius de OliveiraOliveira,Marcia Terezinha Ramos deeng2007-11-29T00:00:00Zoai:scielo:S0103-90162007000600002Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2007-11-29T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
title Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
spellingShingle Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
Berbert,Pedro Amorim
dielectric properties
grain drying
bulk density
automatic control
title_short Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
title_full Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
title_fullStr Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
title_full_unstemmed Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
title_sort Meyer and schilz function to estimate common bean seed water content evaluated by radiofrequency
author Berbert,Pedro Amorim
author_facet Berbert,Pedro Amorim
Molina,Marília Berbert
Viana,Alexandre Pio
Carlesso,Vinícius de Oliveira
Oliveira,Marcia Terezinha Ramos de
author_role author
author2 Molina,Marília Berbert
Viana,Alexandre Pio
Carlesso,Vinícius de Oliveira
Oliveira,Marcia Terezinha Ramos de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Berbert,Pedro Amorim
Molina,Marília Berbert
Viana,Alexandre Pio
Carlesso,Vinícius de Oliveira
Oliveira,Marcia Terezinha Ramos de
dc.subject.por.fl_str_mv dielectric properties
grain drying
bulk density
automatic control
topic dielectric properties
grain drying
bulk density
automatic control
description 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 content with a standard error of the estimate, and maximum error of 0.5 and 1.0 percentage point in moisture, w.b., respectively.
publishDate 2007
dc.date.none.fl_str_mv 2007-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000600002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000600002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162007000600002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.64 n.6 2007
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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