• DocumentCode
    11274
  • Title

    Precision Farming: Sensor Analytics

  • Author

    Ivanov, Stepan ; Bhargava, Kriti ; Donnelly, William

  • Author_Institution
    Waterford Inst. of Technol., Waterford, Ireland
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    76
  • Lastpage
    80
  • Abstract
    The role of wireless sensor networks (WSNs) in agriculture has become prominent as part of the precision farming initiative. In the future, multiple WSN systems will be deployed on every farm. Accurate and timely analyses of the data collected by these systems will become paramount for increasing efficiency and sustainability of farming. Conventionally, analyzing monitoring data is considered to be beyond WSN capabilities, and, therefore, carried out remotely. Meanwhile, in recent years, complexity of the tasks performed by WSNs has been constantly increasing. Modern wireless sensors possess computational capacity sufficient for certain data-analytics functionality. This article overviews modern WSN functionality that incorporates a certain level of intelligence, while the authors explore challenges and potential benefits of WSN-based analytics in the scope of precision farming.
  • Keywords
    agriculture; data mining; precision engineering; wireless sensor networks; agriculture; computational capacity; data monitoring; multiple WSN system; precision farming initiative; precision farming sustainability; sensor data analytics; wireless sensor network; Data integration; Data mining; Logic gates; Monitoring; Robot sensing systems; Wireless communication; Wireless sensor networks; data analytics; intelligence; precision farming; wireless sensor network;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2015.67
  • Filename
    7156034