Low cost solution for rice quality analysis using morphological parameters and its comparison with standard measurements

Rice is a top leading food all over the world and fulfill the needs of a dominant portion of people. Rice quality is determined by different parameters including width, length, area, number of large, medium, small and broken rice. In recent years, there has been an increasing trend in automation of rice quality parameters. State of Art Software named Satake RSQI10A Grain Scanner is being used in this regard in various rice mills in Pakistan including Amir Rice Mill. The main aim of this paper is to provide a low cost software product that mimics all the features and functionalities of this state of art software. The results obtained in terms of percentage accuracy of average length and average width of rice grains are 95.04 and 95.45 respectively. Moreover, the low cost of our software make it an easy replacement for an existing state of art expensive software.