RICE GRAIN QUALITY ANALYSIS USING IMAGE PROCESSING TECHNIQUES

The rice is the major food crop all over the world,where the most of the world’s population relies on the rice to fulfill their daily nutritional needes. India is one of the world’s largest producer and exporter of rice. Grain production plays a major role in our country’s agricultural income.As soon as the rice reaches the market after harvest,its quality determines its sale potential.Market quality is usually based on the rice grains physical traits. The proposed work focuses on quality analysis based on the measurement of its physical parameter. Normally, the grain seeds are examined visually by experts. But the outcome becomes inconsistent and time consuming. Computer vision method is introduced to reduce such limitations. The primary goal of this research is to offer an image processing-based approach for classifying rice types and quality. To aessess the rice grains dip techniques are applied to different samples of the rice to identify their physical parameters and overall quality. Using picture handling methods, research proposes a solution for examining and assessing rice grains based on grain size and shape.