18 December 1996 Color vision system for online sorting of begonias based on learning techniques
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Abstract
A flexible and universal sorting system for potted plants has been developed and has recently been implemented in several greenhouses in the Netherlands. The system contains one or multiple color cameras, a lightning and transport unit, image processing hardware and specially developed software. The platform can be applied for sorting of several types of potted plants because of the implementation of learning techniques using statistical discriminant analysis and a neural network classifier. For most applications, because of different product characteristics or specific user requirements, an adjustment or optimization of the system is necessary. The newest successful implementation is the grading of begonia plants, using two color cameras from different angles, grabbing in total 7 images of one plant. Two extra features have been added to the system to be able to sort begonia: an improved plant variety recognition and automatic recognition of asymmetrical plants.
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A. J. M. Timmermans, T. J. A. Borm, M. B. J. Meinders, "Color vision system for online sorting of begonias based on learning techniques", Proc. SPIE 2907, Optics in Agriculture, Forestry, and Biological Processing II, (18 December 1996); doi: 10.1117/12.262850; https://doi.org/10.1117/12.262850
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