An Autonomous Robotic System for Mapping Weeds in Fields

Karl Damkjær Hansen, Francisco Jose Garcia Ruiz, Wajahat Kazmi, Morten Bisgaard, Anders la Cour-Harbo, Jesper Rasmussen, Hans Jørgen Andersen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

19 Citations (Scopus)
1790 Downloads (Pure)

Abstract

The ASETA project develops theory and methods for robotic agricultural systems. In ASETA, unmanned aircraft and unmanned ground vehicles are used to automate the task of identifying and removing weeds in sugar beet fields. The framework for a working automatic robotic weeding system is presented along with the implemented computer vision systems.
Translated title of the contributionEt autonomt robotsystem til kortlægning af ukrudt i marker
Original languageEnglish
Title of host publication8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013
Number of pages7
Volume8
PublisherElsevier
Publication date2013
Pages217-224
ISBN (Print)978-3-902823-36-6
DOIs
Publication statusPublished - 2013
EventIntelligent Autonomous Vehicles Symposium 2013 - Sofitel Hotel, Goald Coast, Australia
Duration: 26 Jun 201328 Jun 2013
Conference number: 8

Conference

ConferenceIntelligent Autonomous Vehicles Symposium 2013
Number8
LocationSofitel Hotel
Country/TerritoryAustralia
CityGoald Coast
Period26/06/201328/06/2013
SeriesI F A C Workshop Series
ISSN1474-6670

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