Rice Quality Prediction using Computer Vision

The largest cultivated crop in India is rice. It means 70% population of India used to eat rice in their daily basis i.e. two times in a day. The easiest method one person can get contaminated by any kind of disease is food. We always get concerned about our health when we got to know about any kind of diseases and we started taking precautions. For example to avoid pollution in our day to day life we are using mask in our face and to avoid getting contaminated by water we are using bacteria free hand-wash and sanitizers. But when it comes to food we are buying it directly from the market and wash it with water and directly used it for cooking which means we are totally dependable on the food grains that we are buying from the market. Sometimes it happens that we found different small particles i.e. small stones, half sized rice, husk etc. after buying the rice packet, sometimes we found the unwanted products while eating also. We are not concerned about the quality of it. In this paper we have shown our concern towards the quality of rice. We belief a rice size should have more accurate, i.e. it must grow in its full size to provide its full proteins to everyone. We have used the image of rice to predict the quality. We have implemented feature extraction techniques and train our model by different machine learning techniques.