MACHINE VISION TECHNOLOGY FOR ORYZA SATIVA L.(RICE)
In this paper basic problem of rice industry for quality assessment is defined which is traditionally done manually by human inspector. The paper reviews various quality evaluation and grading techniques of Oryza Sativa L.(rice) in food industry. Machine vision provides one alternative for an automated, non-destructive and cost-effective technique. Machine vision in food has broadened its range of applications from grains, cereals, fruits to vegetables including processed products in which there is a high degree of quality achieved as compared to human vision inspection. This paper quantify the qualities of various rice varieties and figure out features which directly or inversely affect the quality of the rice. Based on these features a generalized formula of quality is proposed to be used for quality evaluation of any type of rice variety.