Computer Vision Methods to Determine Visual Qualities from Images of Grain

This project involves an investigation into the use of computer vision techniques to automatically determine quality factors based on visual properties found in images of grain samples. The end result would be software to analyze and classify photos of grain taken by a farmer, field investigator or trader to provide consistent and objective quality evaluations with a simple photo.