Paper
6 January 1995 Machine vision system for quality control assessment of bareroot pine seedlings
John H. Wilhoit, L. J. Kutz, W. A. Vandiver
Author Affiliations +
Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198903
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
A PC-based machine vision system was used at a forest nursery for two months to make quality control measurements of bareroot pine seedlings. In tests conducted during the lifting season, there was close agreement between machine vision and manual measurement distribution results for seedling samples for both root collar diameter and tap root length. During a second set of tests conducted after adding a bud tip height measurement routine, measurement distribution results for seedling samples were in close agreement for root collar diameter, tap root length, and bud tip height. Machine vision measurements of root collar diameter and tap root length also correlated well with manual measurements on a seedling-to- seedling basis for the second test. With the machine vision system, seedling samples could be measured by one person in approximately the same amount of time that it took two people to measure them manually.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John H. Wilhoit, L. J. Kutz, and W. A. Vandiver "Machine vision system for quality control assessment of bareroot pine seedlings", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198903
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Cited by 2 scholarly publications.
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KEYWORDS
Machine vision

Control systems

Quality measurement

Cameras

Image analysis

Image processing

Light sources and illumination

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