Automatic classification of non-touching cereal grains in digital images using limited morphological and color features

► Automatic classification based on grain features was developed.► Models based on one grain feature gave low classification accuracy.►The morphological and color based models gave mean accuracy of 99%. ► The new algorithm is more efficient than previously developed models.