Grain quality analysis is a huge challenge in agricultural industries. Internal control is critical in the food industry
because food products are characterized and rated into various categories after quality data has been collected. Grain quality
assessment is performed by hand, but the results are subjective, lengthy, and pricey. To overcome the limitations and drawbacks
of image processing techniques, different resolutions are used for grain quality analysis. Using image processing techniques,
this paper proposes a method for grading and analyzing rice based on grain size and form. An edge detection algorithmic
software is used in particular to determine the area of each grain's borders. we discover the endpoints of each grain using this
technique, and we can then live the grain's endpoints using caliper.
