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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

7 Citationer (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.
OriginalsprogEngelsk
TitelThe 13th IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV2014)
Antal sider5
UdgivelsesstedSingapore
ForlagIEEE
Publikationsdatodec. 2014
Sider1853-1857
ArtikelnummerFr45.4
DOI
StatusUdgivet - dec. 2014
Begivenhed2014 13th International Conference on Control Automation Robotics & Vision - Marina Bay Sands, Singapore
Varighed: 10 dec. 201412 dec. 2014

Konference

Konference2014 13th International Conference on Control Automation Robotics & Vision
Land/OmrådeSingapore
ByMarina Bay Sands
Periode10/12/201412/12/2014
NavnInternational Conference on Control Automation Robotics & Vision (ICARCV)

Fingeraftryk

Dyk ned i forskningsemnerne om 'Task and Motion Planning for Selective Weed Conrol using a Team of Autonomous Vehicles'. Sammen danner de et unikt fingeraftryk.

Citationsformater