• DocumentCode
    3580241
  • Title

    Task and motion planning for selective weed conrol using a team of autonomous vehicles

  • Author

    Hameed, I.A. ; La Cour-Harbo, A. ; Hansen, K.D.

  • Author_Institution
    Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
  • fYear
    2014
  • Firstpage
    1853
  • Lastpage
    1857
  • 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.
  • Keywords
    agriculture; aircraft control; autonomous aerial vehicles; crops; helicopters; image sensors; industrial robots; infrared imaging; mobile robots; motion control; path planning; robot vision; trajectory control; aerial vehicles; agricultural fields; autonomous vehicles; chemical reduction; chemical weed treatment; disease control; farming; field data collection; ground-based vehicles; insect control; mechanical weed treatment; motion control; motion planning; multispectral cameras; selective weed control; small unmanned helicopters; task planning; thermal cameras; turning trajectory; Agriculture; Mobile robots; Planning; Trajectory; Turning; Vehicles; ASETA; motion control; path planning; turning trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICARCV.2014.7064598
  • Filename
    7064598