Researching And Developing Of Rice Quality Evaluation System

Among the current indices of rice standard, the majority of them still stay evaluated by manual method or general chemical and physical means, which brings disadvantages such as strong subjectivity, low accuracy, poor repetitiveness, long time-consumption, and so on. These discount the authority and rationality of standard and restrict the development of rice industry to a certain extent. To compensate the weaknesses, an assessment system of rice quality (RQS1.0) is developed by employing computer digital image processing technology and RGB chromaticity theory. Visual interface is adopted with man-machine interaction in it. With the system, a study is made on the feasibility of automatic detection of yellow-colored rice, head rice and the milling degree of rice. After an analysis of the shape differences between head rice and broken rice, a method for automatic detection of head rice is advanced. Based on a research of the different color traits of yellow-colored rice and general rice, an approach of automatic detection of yellow-colored is presented. The method of automatically detecting the accuracy of rice processing is studied according to the diverse colors of bran peel and albumen of rice and a better result is obtained. Besides, RQ1.0 makes it possible to employ the automatic-detection indices of physical and chemical characteristics as the rate of poor-quality white rice and its seriousness, outer features like the proportion of length and width, and amylase content. The findings show it is feasible that using the system for a detection of the above indices which improve the deficiency of the present national detection method. The system builds a flat road for the enforcement of "good price, high quality" policy of rice purchase.