Abstract
Detection of rice kernel domestic mainly rely on manual measurement using a ruler or vernier caliper tool, which use the ruler measurement of human error, and the measurement of the twisted grain rice vernier caliper is limited. Manual measurement are difficult problems, but also low efficiency. This study analyzes the current research on appearance quality of rice by using machine vision technology mainly focuses on the aspects of rice kernel, chalkiness, yellow rice and other characteristics, realized the accurate detection and obtain rice information quickly by using the machine vision technology, improves the speed and precision of detection, especially detection effect the grain shape distortions.
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