Determination of maize hardness by biospeckle and fuzzy granularity

• Autores: Weber, Christian; Dai Pra, Ana L.; Passoni, Lucía Isabel; Rabal, Héctor Jorge; Trivi, Marcelo Ricardo; Poggio Aguerre, Guillermo J.
• Año de publicación: 2014
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: Ciencias Agrarias; Biospeckle; dry milling; laser; maize hardness
• Institución: Universidad Nacional de La Plata

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.
Facultad de Ciencias Agrarias y Forestales
Centro de Investigaciones Ópticas