• DocumentCode
    146592
  • Title

    Power estimation and automation of green house using wireless sensor network

  • Author

    Hemraj ; Sukesha

  • Author_Institution
    Inst. of Eng. & Technol, Panjab Univ., Chandigarh, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    436
  • Lastpage
    441
  • Abstract
    Green house Management system has increased the scope of agriculture up to a greater extent. New sophisticated technologies are used to enhance the efficiency and profit from the crop. Real time monitoring and controlling of the environmental parameters are required to maintain the intended environmental conditions. Wireless sensor network is the emerging field which can be used for monitoring and controlling the necessary parameters. In the wireless sensor network the nodes take power from the battery which is of limited capacity. This paper proposed a modal which uses the AODTPC protocol of real time power consumption managing capability. The environmental parameters like temperature and Relative Humidity are monitored and controlled to maintain the intended range inside the green house.
  • Keywords
    agriculture; crops; greenhouses; humidity control; profitability; temperature control; wireless sensor networks; AODTPC protocol; agriculture; capability management; crop efficiency; crop profitability; environmental parameter control; green house automation; green house management system; power estimation; real time monitoring; relative humidity control; relative humidity monitoring; temperature control; temperature monitoring; wireless sensor network; Agriculture; Green products; Humidity; Kalman filters; Temperature control; Temperature distribution; Temperature sensors; AODTPC; Kalman Filter; Monitoring and controlling; Received Signal Strength Indicator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949374
  • Filename
    6949374