Show simple item record 2017-06-16T15:59:01Z 2017-06-16T15:59:01Z
dc.title Determination of maize hardness by biospeckle and fuzzy granularity en
dc.type Artículo es
dcterms.abstract In 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. en
dcterms.extent p. 557–564 es
dcterms.issued 2014-09
dcterms.language Inglés es
dcterms.license Attribution 4.0 International (BY 4.0) es
dcterms.publisher Wiley es
dcterms.subject Ciencias Agrarias es
dcterms.subject biospeckle en
dcterms.subject dry milling en
dcterms.subject maize hardness en
dcterms.subject laser es
cic.version info:eu-repo/semantics/publishedVersion es Weber, Christian es Dai Pra, Ana L. es Passoni, Lucía I. es Rabal, Héctor J. es Trivi, Marcelo Ricardo es Poggio Aguerre, Guillermo J. es
cic.lugarDesarrollo Centro de Investigaciones Ópticas es
dcterms.subject.materia Óptica, Acústica es
dcterms.identifier.url Recurso completo es
dcterms.identifier.other DOI 10.1002/fsn3.130 es
dcterms.isPartOf.item Informe científico de investigador: Weber, Christian (2015) es
dcterms.isPartOf.item Informe científico de investigador: Trivi, Marcelo Ricardo (2014-2015) es
dcterms.isPartOf.issue vol. 2, nº 5 es
dcterms.isPartOf.series Food Science & Nutrition es
cic.isPeerReviewed true es
cic.isFulltext true es


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