Determination of maize hardness by biospeckle and fuzzy granularity.

C. WEBER, A DAI PRA, L. PASSONI, H. RABAL, M. TRIVI, G. POGGIO AGUIRRE.

Food Science and Nutrition

John Wiley & Sons, Inc

Lugar: Nueva York; Año: 2014 p. 1 - 8

2048-7177

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 optical rough surface that flickers when the object is active and is called biospeckle. In this work, we use biospeckle to clasifymaize (Zea mays L.) kernel hardness. A series of images were then registered, stored and processed. These were comparted with results obtained by floating test. The laser speckle technique was effective in discriminating the grains based on the presence of 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.