Coded structural light imaging system for weed detection in outdoor conditions

Destain, Marie-France; Piron, Alexis

Download

Unpublished conference/Abstract (Scientific congresses and symposiums)

Coded structural light imaging system for weed detection in outdoor conditions

Destain, Marie-France; Piron, Alexis

2008 • Manufuture, Working Group on Agricultural Engineering Technology

Permalink
https://hdl.handle.net/2268/74353

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

AET [Mode de compatibilité].pdf

Publisher postprint (2.2 MB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Machine vision; stereoscopy; weed

Abstract :

[en] A method of determining the position of weeds growing in soil amongst crops is described. Is uses a camera to acquire stereoscopic images of plants.

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Destain, Marie-France ; Université de Liège - ULiège > Sciences et technologie de l'environnement > Mécanique et construction

Piron, Alexis ; Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech

Language :

English

Title :

Coded structural light imaging system for weed detection in outdoor conditions

Publication date :

October 2008

Number of pages :

Event name :

Manufuture, Working Group on Agricultural Engineering Technology

Event organizer :

Manufuture

Event place :

Brussels, Belgium

Event date :

28 October 2008

By request :

Yes

Audience :

International

Name of the research project :

RECADVEN

Funders :

DGO6

Available on ORBi :

since 24 October 2010

Statistics

Number of views

59 (3 by ULiège)

Number of downloads

47 (2 by ULiège)

More statistics