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Determination of plant height for weed detection in stereoscopic images
Piron, Alexis; Leemans, Vincent; Kleynen, Olivier et al.
2008In AGENG 2008 Conference - Agricultural & Biosystems Engineering for a Sustainable World
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Keywords :
machine vision; weeds; organic farming
Abstract :
[en] The aim of this study was twofold. The first goal was to acquire high accuracy stereoscopic images of small-scale field scenes, the second to examine the potential of plant height as a discriminant factor between crop and weed, within carrot rows. Emphasis was put on how to determine actual plant height taking into account the variable distance from camera to ground and ground irregularities for in-field measurements. Multispectral stereoscopic images were taken over a period of 19 days starting one week after crop emergence and seven weed species were considered. Images were acquired with a mobile vision system consisting in a filter wheel based multispectral camera and a video projector. The stereoscopy technique used belonged to the coded structured light family. The stereoscopic acquisition method yielded good results despite the numerous stereoscopic difficulties exhibited by the scenes. A plant height parameter as opposed to distance from camera to plant pixels gave better results for classification (classification accuracy of up
Research center :
Gembloux Agro-Bio Tech
Disciplines :
Agriculture & agronomy
Author, co-author :
Piron, Alexis ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Leemans, Vincent ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Kleynen, Olivier
Destain, Marie-France ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Language :
English
Title :
Determination of plant height for weed detection in stereoscopic images
Publication date :
2008
Event name :
Ag-Eng 2008 (International Conference on Agricultural Engineering)
Event place :
Hersonissos, Greece
Audience :
International
Main work title :
AGENG 2008 Conference - Agricultural & Biosystems Engineering for a Sustainable World
Peer reviewed :
Peer reviewed
Name of the research project :
RECADVEN
Funders :
SPW - Service Public de Wallonie [BE]
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since 03 August 2009

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