• DocumentCode
    3155610
  • Title

    Decision support system for agricultural management using prediction algorithm

  • Author

    Animas, Mark Ian ; Gerardo, Bobby D. ; Yung-Cheol Byun ; Concepcion, Ma Beth

  • Author_Institution
    Inst. of ICT, West Visayas State Univ. Luna St., Iloilo, Philippines
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    Currently climate change is one of the major problems encountered due to the climatic controls interacting in various intensities and in different combinations. The proposed system includes mechanism that accepts/processes gathered data from Agricultural Research Center. The system uses Time Series Analysis; the collection of observations of well-defined data items obtained through repeated measurements over time which utilizes algorithm that is capable of formulating the trend. Upon prediction, the system displays table and graphs along with the recommended crops. The system had successfully determined the trend of rainfall and evaporation using prediction algorithm together with the recommended crops. It was able to display the result of prediction in graphical form and crop classification in tabular form.
  • Keywords
    crops; decision support systems; evaporation; graph theory; time series; Agricultural Research Center; agricultural management; climate change; crop classification; data items; decision support system; evaporation; graphical form; prediction algorithm; rainfall; tabular form; time series analysis; Agriculture; Algorithm design and analysis; Data mining; Decision support systems; Market research; Prediction algorithms; Time series analysis; Agricultural Management; Prediction Algorithm; Rainfall-Evaporation Prediction; Trend;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
  • Conference_Location
    Niigata
  • Type

    conf

  • DOI
    10.1109/ICIS.2013.6607839
  • Filename
    6607839