• DocumentCode
    495583
  • Title

    Wireless Sensor Network for Orchard Soil and Climate Monitoring

  • Author

    Yang, Haiqing ; He, Yong

  • Author_Institution
    Sch. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    58
  • Lastpage
    62
  • Abstract
    Soil and climate monitoring plays an important role in orchard farming management. Wireless sensor network (WSN) is an efficient approach for monitoring large-scale orchard with densely distributed smart nodes. Combined with a project of facility cultivation of local pear variety in Zhejiang province, China, a newly designed structure of WSN combining network clustering and route enhancing is proposed with an aim at facilitating node deployment in orchard and regular network maintenance. The topology of wireless sensing cluster, hard- and soft- design of wireless node and routing enhancement are elaborated. The testing result shows that the proposed scheme has the capability of robust data transmission, high sensing accuracy of soil and climate parameters and excellent data consistency. The design method proposed in the paper is also suitable for other farmland monitoring system.
  • Keywords
    geophysical techniques; radiotelemetry; telecommunication network topology; wireless sensor networks; climate monitoring; distributed smart nodes; network clustering; network maintenance; orchard farming management; orchard soil monitoring; robust data transmission; route enhancement; wireless sensing cluster topology; wireless sensor network; Data communication; Design methodology; Large-scale systems; Monitoring; Network topology; Robustness; Routing; Soil; Testing; Wireless sensor networks; Orchard; Soil and Climate Monitoring; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.779
  • Filename
    5171133