Machine Vision Development and Use in Seedling Quality Monitoring Inspection
Seedling processing costs ha ve increased in proportion to overall seedling costs in part because of lack of automation. A PC-based machine vision seedling inspection station has been developed for packinghouse quality monitoring as part of a program to develop an automated seedling grading and packing system. This inspection station is being evaluated for incorporation into the quality monitoring inspection program at J. Herbert Stone Nursery. The station has been evaluated for accuracy of measurements of seedling morphological features with favorable results. Machine vision grading criteria are being developed from comparisons of machine vision with current manual methods of measurement. Further studies will be made into developing grading criteria using features measured by machine vision which were not obtainable with manual methods. A fully functional machine vision based seedling grading and packing system remains the goal of the program.
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Author(s): David B. Davis, John K. Scholtes
Publication: National Nursery Proceedings - 1995
Event:
Western Forest and Conservation Nursery Association Meeting
1995 - Kearney, NE