Study on identification of rice varieties using computer vision

The rice variety has been identified exclusively by human inspection so far. The result of human inspection is subjective. A new method of identification was proposed based on Bayes decision theory using computer vision. Color features and shape features were used simultaneously as input of the Bayes classifier. Tests show that identification rate is up to 883%. This method is proved to be objective and consistent.