A Semi-automated Smart Image Processing Technique for Rice Grain Quality Analysis

摘要

India is among the top producers of rice in the world. It is the staple food for the eastern and southern people of India. Therefore, the need to measure the quality of rice has become a necessity, but there are still a limited number of viable and safe options that can be used for the grading of the rice grains. This paper solves the prior problem of quality assessment using the reliable method of image processing. This technique allows us to get an idea of the dimensions of the rice grains and accordingly grade them. Previously, there have been numerous researches in the field of rice grain quality assessment taking chalky, the opaque white part of the grain into consideration. It is one of the most important characteristics while analyzing and grading the rice grain. This paper calculates the dimensions, classifies the grains into different quality grades and checks for chalkiness.