• DocumentCode
    3725308
  • Title

    Big data in precision agriculture: Weather forecasting for future farming

  • Author

    M. R. Bendre;R. C. Thool;V. R. Thool

  • Author_Institution
    Department of Information Technology, SGGSIE&T, Nanded, India
  • fYear
    2015
  • Firstpage
    744
  • Lastpage
    750
  • Abstract
    This paper gives an idea about how to discover additional insights from precision agriculture data through big data approach. We present a scenario for the use of Information and Communication Technology (ICT) services in agricultural big data environment to collect huge data. Big data analytics in agriculture applications provide a new insight to give advance weather decisions, improve yield productivity and avoid unnecessary cost related to harvesting, use of pesticide and fertilizers. Paper list out the different sources of big data in precision agriculture using ICT components and types of structured and unstructured data. Also discussed big data in precision agriculture, an ICT scenario for agricultural big data, platform, its future applications and challenges in precision agriculture. Finally, we have discussed results using a programming model and distributed algorithm for data processing and forecasting application of weather.
  • Keywords
    "Big data","Meteorology","Soil","Fertilizers","Global Positioning System","Geographic information systems"
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
  • Type

    conf

  • DOI
    10.1109/NGCT.2015.7375220
  • Filename
    7375220