In this research paper, the classification of rice varieties using machine learning techniques for agricultural applications is presented along with the simulation results. Rice, the world's largely cultivated and consumed cereal crop, is also one of our country's most important sources of sustenance due to its economic and nutritional worth. Before reaching our tables, rice goes through multiple industrial stages, including washing, colour sorting, and categorising. Cleansing is the separation of extraneous elements from rice; classification is the separation of broken rice from sturdy rice; and colour extraction is the separation of discoloured and striped rice from whiteness on the rice surface. In this study, a computer vision system was developed to distinguish between two proprietary rice kinds. For the two species, 3810 rice grain pictures were captured, analysed, and feature inferences were produced.