Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000400599 |
Resumo: | ABSTRACT: The study aimed to i) quantify the measurement uncertainty in the physical tests of rice and beans for a hypothetical defect, ii) verify whether homogenization and sample reduction in the physical classification tests of rice and beans is effective to reduce the measurement uncertainty of the process and iii) determine whether the increase in size of beans sample increases accuracy and reduces measurement uncertainty in a significant way. Hypothetical defects in rice and beans with different damage levels were simulated according to the testing methodology determined by the Normative Ruling of each product. The homogenization and sample reduction in the physical classification of rice and beans are not effective, transferring to the final test result a high measurement uncertainty. The sample size indicated by the Normative Ruling did not allow an appropriate homogenization and should be increased. |
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Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beansISO / IEC 17025grain classificationquality controlprecisionABSTRACT: The study aimed to i) quantify the measurement uncertainty in the physical tests of rice and beans for a hypothetical defect, ii) verify whether homogenization and sample reduction in the physical classification tests of rice and beans is effective to reduce the measurement uncertainty of the process and iii) determine whether the increase in size of beans sample increases accuracy and reduces measurement uncertainty in a significant way. Hypothetical defects in rice and beans with different damage levels were simulated according to the testing methodology determined by the Normative Ruling of each product. The homogenization and sample reduction in the physical classification of rice and beans are not effective, transferring to the final test result a high measurement uncertainty. The sample size indicated by the Normative Ruling did not allow an appropriate homogenization and should be increased.Universidade Federal de Santa Maria2016-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000400599Ciência Rural v.46 n.4 2016reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20150328info:eu-repo/semantics/openAccessPivoto,DieissonBecker,João MathiasBremm,CarolinaAlbano,Filipe de Medeiroseng2016-03-30T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
title |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
spellingShingle |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans Pivoto,Dieisson ISO / IEC 17025 grain classification quality control precision |
title_short |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
title_full |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
title_fullStr |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
title_full_unstemmed |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
title_sort |
Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans |
author |
Pivoto,Dieisson |
author_facet |
Pivoto,Dieisson Becker,João Mathias Bremm,Carolina Albano,Filipe de Medeiros |
author_role |
author |
author2 |
Becker,João Mathias Bremm,Carolina Albano,Filipe de Medeiros |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Pivoto,Dieisson Becker,João Mathias Bremm,Carolina Albano,Filipe de Medeiros |
dc.subject.por.fl_str_mv |
ISO / IEC 17025 grain classification quality control precision |
topic |
ISO / IEC 17025 grain classification quality control precision |
description |
ABSTRACT: The study aimed to i) quantify the measurement uncertainty in the physical tests of rice and beans for a hypothetical defect, ii) verify whether homogenization and sample reduction in the physical classification tests of rice and beans is effective to reduce the measurement uncertainty of the process and iii) determine whether the increase in size of beans sample increases accuracy and reduces measurement uncertainty in a significant way. Hypothetical defects in rice and beans with different damage levels were simulated according to the testing methodology determined by the Normative Ruling of each product. The homogenization and sample reduction in the physical classification of rice and beans are not effective, transferring to the final test result a high measurement uncertainty. The sample size indicated by the Normative Ruling did not allow an appropriate homogenization and should be increased. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-01 |
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=S0103-84782016000400599 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000400599 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20150328 |
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 |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.46 n.4 2016 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140548983193600 |