• DocumentCode
    3669088
  • Title

    Devices, systems, and methods for automated monitoring enabling precision agriculture

  • Author

    Jnaneshwar Das;Gareth Cross;Chao Qu;Anurag Makineni;Pratap Tokekar;Yash Mulgaonkar;Vijay Kumar

  • Author_Institution
    GRASP Laboratory, University of Pennsylvania
  • fYear
    2015
  • fDate
    8/1/2015 12:00:00 AM
  • Firstpage
    462
  • Lastpage
    469
  • Abstract
    Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products - plant morphology, canopy volume, leaf area index, and fruit counts - using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.
  • Keywords
    "Robot sensing systems","Cameras","Vegetation","Three-dimensional displays","Image reconstruction","Monitoring","Agriculture"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294123
  • Filename
    7294123