B. Shape approach (length, area, internal damage, etc) As rice is harvested, many physical and mechanical stresses are developed inside rice kernels. These defects or cracks can be easily detects if using machine vision system. Xu Lizhang, Li Yaoming, 2008 using image processing to detects internal damage of rice kernels. The methods which prefer are edge detection for the find internal cracks of rice. Various types of edge detection can be used to see the internal damage such as Sobel filter, Robert filter, Prewitt filter and many more [8].