Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.provenanceComisión de Investigaciones Científicas-
dc.contributorWeber, Christian-
dc.contributorDai Pra, Ana L.-
dc.contributorPassoni, Lucía I.-
dc.contributorRabal, Héctor J.-
dc.contributorTrivi, Marcelo Ricardo-
dc.contributorPoggio Aguerre, Guillermo J.-
dc.creatorWeber, Christian-
dc.creatorDai Pra, Ana L.-
dc.creatorPassoni, Lucía I.-
dc.creatorRabal, Héctor J.-
dc.creatorTrivi, Marcelo Ricardo-
dc.creatorPoggio Aguerre, Guillermo J.-
dc.date2014-09-
dc.date.accessioned2019-04-29T16:09:38Z-
dc.date.available2019-04-29T16:09:38Z-
dc.date.issued2014-09-
dc.identifierhttp://digital.cic.gba.gob.ar/handle/11746/5872-
dc.identifierRecurso completo-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/310582-
dc.descriptionIn recent years there has been renewed interest in the development of novel grain classification methods that could complement traditional empirical tests. A speckle pattern occurs when a laser beam illuminates an optically rough surface that flickers when the object is active and is called biospeckle. In this work, we use laser biospeckle to classify maize (Zea mays L.) kernel hardness. A series of grains of three types of maize were cut and illuminated by a laser. A series of images were then registered, stored, and processed. These were compared with results obtained by floating test. The laser speckle technique was effective in discriminating the grains based on the presence of floury or vitreous endosperm and could be considered a feasible alternative to traditional floating methods. The results indicate that this methodology can distinguish floury and vitreous grains. Moreover, the assay showed higher discrimination capability than traditional tests. It could be potentially useful for maize classification and to increase the efficiency of processing dry milling corn.-
dc.formatapplication/pdf-
dc.formatp. 557–564-
dc.languageeng-
dc.publisherWiley-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsAttribution 4.0 International (BY 4.0)-
dc.sourcereponame:CIC Digital (CICBA)-
dc.sourceinstname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires-
dc.sourceinstacron:CICBA-
dc.source.urihttp://digital.cic.gba.gob.ar/handle/11746/5872-
dc.source.uriRecurso completo-
dc.subjectÓptica, Acústica-
dc.titleDetermination of maize hardness by biospeckle and fuzzy granularity-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: Comisión de Investigaciones Científicas de la Prov. de Buenos Aires

Ficheros en este ítem:
No hay ficheros asociados a este ítem.