• DocumentCode
    1719192
  • Title

    Animal Behaviour Understanding using Wireless Sensor Networks

  • Author

    Guo, Y. ; Corke, P. ; Poulton, G. ; Wark, T. ; Bishop-Hurley, G. ; Swain, D.

  • Author_Institution
    Autonomous Syst. Lab., CSIRO, Clayton, Vic.
  • fYear
    2006
  • Firstpage
    607
  • Lastpage
    614
  • Abstract
    This paper presents research that is being conducted by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) with the aim of investigating the use of wireless sensor networks for automated livestock monitoring and control. It is difficult to achieve practical and reliable cattle monitoring with current conventional technologies due to challenges such as large grazing areas of cattle, long time periods of data sampling, and constantly varying physical environments. Wireless sensor networks bring a new level of possibilities into this area with the potential for greatly increased spatial and temporal resolution of measurement data. CSIRO has created a wireless sensor platform for animal behaviour monitoring where we are able to observe and collect information of animals without significantly interfering with them. Based on such monitoring information, we can identify each animal´s behaviour and activities successfully
  • Keywords
    farming; wireless sensor networks; Commonwealth Scientific and Industrial Research Organisation; animal behaviour understanding; automated livestock control; automated livestock monitoring; cattle monitoring; wireless sensor networks; Agriculture; Animal behavior; Area measurement; Automatic control; Computerized monitoring; Cows; Industrial control; Sampling methods; Spatial resolution; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, Proceedings 2006 31st IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0742-1303
  • Print_ISBN
    1-4244-0418-5
  • Electronic_ISBN
    0742-1303
  • Type

    conf

  • DOI
    10.1109/LCN.2006.322023
  • Filename
    4116628