Reference : Detecting weeds by artificial vision in carrots: towards optimization of herbicide use

	Document type :	Scientific congresses and symposiums : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/2268/74355

Title :	Detecting weeds by artificial vision in carrots: towards optimization of herbicide use
Language :	English
Author, co-author :	Piron, Alexis [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
	Destain, Marie-France [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
Publication date :	3-Apr-2009
On invitation :	Yes
Audience :	International
Event name :	Climate change: challenges, risks and impacts on cropping systems
Event date :	April 3, 2009
Event organizer :	Benelux Society of Horticultural Science
Event place (city) :	Gembloux
Event country :	Belgium
Keywords :	[en] automatic weeds detection ; machine vision
Abstract :	[en] A method of determining the position of weeds growing in soil amongst horticultural crops is described.
Funders :	DGO6
Name of the research project :	RECADVEN
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/74355

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