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Proceedings of Past Forest Nursery Association Meetings:

Grading Pine Seedlings with Machine Vision
Kranzler, Glenn A.; Rigney, Michael P.
1987: Oklahoma City, OK
A machine vision technique for grading pine seedlings at production line rates was developed. Singulated seedlings were inspected on a moving belt. Classification as acceptable or cull was based on minimum criteria for stem diameter, shoot height, and projected root area. Individual seedlings were graded in approximately 0.25 seconds. Average classification error rate was 5.7 percent.
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