• DocumentCode
    3068058
  • Title

    Conceptual design for fully autonomous aerial and ground system for precision agriculture

  • Author

    Joordens, Matthew ; Brodie, Tom A. ; Oberli, Thomas P. ; Swinsburg, Phil

  • Author_Institution
    Sch. of Eng., Deakin Univ. Geelong, Geelong, VIC, Australia
  • fYear
    2015
  • fDate
    17-20 May 2015
  • Firstpage
    99
  • Lastpage
    104
  • Abstract
    There are few regulatory restrictions involving the use of fully autonomous unmanned aerial systems in unpopulated, farming areas of Australia. The combination of a fully autonomous aerial and ground systems would provide efficient and cost effective retrieval of soil and vegetation data for use in precision agriculture. The aerial system will survey the site and collect spectral imagery to analyse plant density, stress and nutrition. The ground sensors will collect soil moisture content readings throughout the site. The data from both systems will be collated at a central base station. The base station will also provide housing and interface with the aerial system.
  • Keywords
    autonomous aerial vehicles; irrigation; moisture; precision engineering; robot vision; soil; surveying; vegetation mapping; wireless sensor networks; Australia; central base station; conceptual design; fully autonomous aerial-and-ground system; fully-autonomous unmanned aerial systems; ground sensors; plant density analysis; plant nutrition analysis; plant stress analysis; precision agriculture; site survey; soil data retrieval; soil moisture content reading collection; spectral imagery collection; unpopulated farming areas; vegetation data retrieval; wireless sensor networks; Agriculture; Base stations; Cameras; Sensors; Soil; Systems engineering and theory; Wireless sensor networks; Precision agriculture; autonomous; unmanned aerial system; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering Conference (SoSE), 2015 10th
  • Conference_Location
    San Antonio, TX
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2015.7151983
  • Filename
    7151983