29 May 2007 Development of a machine vision system for a real-time precision sprayer
Author Affiliations +
Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560K (2007) https://doi.org/10.1117/12.736912
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France
Abstract
In the context of precision agriculture, we have developed a machine vision system for a real time precision sprayer. From a monochrome CCD camera located in front of the tractor, the discrimination between crop and weeds is obtained with an image processing based on spatial information using a Gabor filter. This method allows to detect the periodic signals from the non periodic one and it enables to enhance the crop rows whereas weeds have patchy distribution. Thus, weed patches were clearly identified by a blob-coloring method. Finally, we use a pinhole model to transform the weed patch coordinates image in world coordinates in order to activate the right electro-pneumatic valve of the sprayer at the right moment.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jérémie Bossu, Christelle Gée, Frédéric Truchetet, "Development of a machine vision system for a real-time precision sprayer", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560K (29 May 2007); doi: 10.1117/12.736912; https://doi.org/10.1117/12.736912
PROCEEDINGS
11 PAGES


SHARE
Back to Top