Size grading of corn kernels with machine vision
1998
Ni, B. | Paulsen, M.R. | Reid, J.F.
An electronic corn kernel size grading system was developed using machine vision. Measurements of kernel length, width, and projected area were obtained independent of kernel orientation. The performance of the size-grading algorithm was compared to the results of mechanical sieving using a precision round-hole seed sizer. Average accuracy from 73.8% to 90.3% was achieved on seed corn samples that were pre-sized using precision graders.
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