Development of a Classification System for Quality Evaluation of Oryza Sativa L. (Rice) Using Computer Vision

Carrying out effective and sustainable agriculture product has become an important issue in recent years. Agricultural production has to keep up with an ever-increasing population. A key to this is the usage of modern techniques (for precision agriculture) to take advantage of the quality in the market. The paper reviews various quality evaluation and grading techniques of Oryza Sativa L. (rice) in food industry using computer vision and image processing. In this paper basic problem of rice industry for quality assessment is defined which is traditionally done manually by human inspector. Computer Vision provides one alternative for an automated, non-destructive and cost-effective technique. In this paper we quantify the qualities of various rice varieties in Asian subcontinent and figure out features which directly or indirectly affect the quality of the rice. Based on these features a generalized approach of quality is proposed to be used for quality evaluation of any type of rice variety.