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Provedor de dados:  Ciência Rural
País:  Brazil
Título:  Uncertainty measurement in the homogenization and sample reduction in the physical classification of rice and beans
Autores:  Pivoto,Dieisson
Becker,João Mathias
Bremm,Carolina
Albano,Filipe de Medeiros
Data:  2016-04-01
Ano:  2016
Palavras-chave:  ISO / IEC 17025
Grain classification
Quality control
Precision
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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000400599
Editor:  Universidade Federal de Santa Maria
Relação:  10.1590/0103-8478cr20150328
Formato:  text/html
Fonte:  Ciência Rural v.46 n.4 2016
Direitos:  info:eu-repo/semantics/openAccess
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