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Evaluation of Multispectral Images for Harvester Guidance
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: Paper number 021202, 2002 ASAE Annual Meeting . (doi: 10.13031/2013.9700) @2002Authors: M.J. Vassallo, E.R. Benson, W.E. Kee
Keywords: automatic guidance, image processing, image processors, machine vision
Machine vision guidance systems have been developed for work in a variety of crops. Sensor performance has a significant impact on the performance of the resulting algorithm. In this project, a Duncan Technologies MS2150 multisensor camera (NIR, R, G) was used to collect images of grass hay, collard greens and spinach. The resulting images were processed in MATLAB using a novel algorithm. Initial results indicate favorable performance of the algorithm in the green crops tested.
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