Task and Motion Planning for Selective Weed Conrol using a Team of Autonomous Vehicles

Ibrahim Hameed, Anders la Cour-Harbo, Karl Damkjær Hansen

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

7 Citations (Scopus)

Abstract

Conventional agricultural fields are sprayed uniformly to control weeds, insects, and diseases. To reduce cultivation expenses, to produce healthier food and to create more environmentally friendly farms, chemicals should only be applied to the right place at the right time and exactly with the right amount. In this article, a task and motion planning for a team of autonomous vehicles to reduce chemicals in farming is presented. Field data are collected by small unmanned helicopters equipped with a range of sensors, including multispectral and thermal cameras. Data collected are transmitted to a ground station to be analyzed and triggers aerial and ground-based vehicles to start close inspection and/or plant/weed treatment in specified areas. A complete trajectory is generated to enable ground-based vehicle to visit infested areas and start chemical/mechanical weed treatment.
Original languageEnglish
Title of host publicationThe 13th IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV2014)
Number of pages5
Place of PublicationSingapore
PublisherIEEE
Publication dateDec 2014
Pages1853-1857
Article numberFr45.4
DOIs
Publication statusPublished - Dec 2014
Event2014 13th International Conference on Control Automation Robotics & Vision - Marina Bay Sands, Singapore
Duration: 10 Dec 201412 Dec 2014

Conference

Conference2014 13th International Conference on Control Automation Robotics & Vision
Country/TerritorySingapore
CityMarina Bay Sands
Period10/12/201412/12/2014
SeriesInternational Conference on Control Automation Robotics & Vision (ICARCV)

Fingerprint

Dive into the research topics of 'Task and Motion Planning for Selective Weed Conrol using a Team of Autonomous Vehicles'. Together they form a unique fingerprint.

Cite this