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Home → Publications → National Nursery Proceedings → 1988 → Computer Vision for Grading Tree Seedlings

Computer Vision for Grading Tree Seedlings

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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Author(s): Michael P. Rigney, Glenn A. Kranzler

Publication: National Nursery Proceedings - 1988

Event: Combined Meeting of the Western Forest Nursery Associations
1988 - Vernon, CAN