Click on “Download PDF” for the PDF version or on the title for the HTML version.

If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Evaluation of Multispectral Images for Harvester Guidance

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  021202,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9700) @2002
Authors:   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.

(Download PDF)    (Export to EndNotes)