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Home → Publications → National Nursery Proceedings → 1987 → Grading Pine Seedlings with Machine Vision

Grading Pine Seedlings with Machine Vision

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

Publication: National Nursery Proceedings - 1987

Event: Intermountain Forest Nursery Association
1987 - Oklahoma City, OK