IV. ATIMONGMONG CHA(PHILIPPINE RICE)
In 2008, Jose D Guzman. et. al proposed the use of a machine vision system and neural networks for automatic identification of the sizes, shapes, and variety of samples of 52 rice grains belonging to five varietal groups of rice in the Philippines as shown in figure4. Using Machine vision and pattern recognition morphological features were extracted from an individual grain.