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Proceedings of Past Forest Nursery Association Meetings:

Computer Vision for Grading Tree Seedlings
Rigney, Michael P.; Kranzler, Glenn A.
1988: Vernon, CAN
A computer vision algorithm measuring several morphological characteristics of pine seedlings was developed. Singulated seedlings were inspected on a moving belt at production-line rates. 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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