Determination of maize hardness by biospeckle and fuzzy granularity

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 biospeck...

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Detalles Bibliográficos
Autores principales:	Weber, Christian, Dai Pra, Ana L., Passoni, Lucía Isabel, Rabal, Héctor Jorge, Trivi, Marcelo Ricardo, Poggio Aguerre, Guillermo J.
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2014
Materias:	Ciencias Agrarias Biospeckle dry milling laser maize hardness
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/85029
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-85029
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Agrarias Biospeckle dry milling laser maize hardness
spellingShingle	Ciencias Agrarias Biospeckle dry milling laser maize hardness Weber, Christian Dai Pra, Ana L. Passoni, Lucía Isabel Rabal, Héctor Jorge Trivi, Marcelo Ricardo Poggio Aguerre, Guillermo J. Determination of maize hardness by biospeckle and fuzzy granularity
topic_facet	Ciencias Agrarias Biospeckle dry milling laser maize hardness
description	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.
format	Articulo Articulo
author	Weber, Christian Dai Pra, Ana L. Passoni, Lucía Isabel Rabal, Héctor Jorge Trivi, Marcelo Ricardo Poggio Aguerre, Guillermo J.
author_facet	Weber, Christian Dai Pra, Ana L. Passoni, Lucía Isabel Rabal, Héctor Jorge Trivi, Marcelo Ricardo Poggio Aguerre, Guillermo J.
author_sort	Weber, Christian
title	Determination of maize hardness by biospeckle and fuzzy granularity
title_short	Determination of maize hardness by biospeckle and fuzzy granularity
title_full	Determination of maize hardness by biospeckle and fuzzy granularity
title_fullStr	Determination of maize hardness by biospeckle and fuzzy granularity
title_full_unstemmed	Determination of maize hardness by biospeckle and fuzzy granularity
title_sort	determination of maize hardness by biospeckle and fuzzy granularity
publishDate	2014
url	http://sedici.unlp.edu.ar/handle/10915/85029
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bdutipo_str	Repositorios
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Determination of maize hardness by biospeckle and fuzzy granularity

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