• DocumentCode
    734326
  • Title

    Trial of an Automatic Schedule for Farming and Crop Prediction

  • Author

    Fujii, Kojiro ; Murakami, Yukikazu ; Hato, Kenji

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Inst. of Technol., Kagawa, Japan
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Nowadays farmers are doing farm work from experience and intuition. In addition, Japanese agriculture is on the downward trend the number of the overall farmhouses with lack of aging and successor. In this way, the succession of the know-how of the farming schedule by experience and the perception that the expert worker cultivated is late. Therefore, it is necessary to have erected the way of easy-to-understand farming schedule to people who is going to engage in agriculture newly. In this study, we propose a system to predict the harvest date or planting date by inputting the days for which you want to make harvest or planting for each crop. Furthermore, this system automatically generates a farming schedule if you register farming work with a system beforehand.
  • Keywords
    agriculture; crops; scheduling; Japanese agriculture; crop prediction; farming schedule; iFarm system; Agriculture; Artificial intelligence; Interviews; Least squares approximations; Schedules; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.5
  • Filename
    7185157