• DocumentCode
    3023582
  • Title

    Expert Consulting Service Platform for Forest Pests and Diseases Prevention of Rapid-Growing and High-Yield Forest in Northeast of China

  • Author

    Nihong, Wang ; Dan, Li ; Hua, Pan ; Yanrong, Zhang

  • Author_Institution
    Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    151
  • Lastpage
    155
  • Abstract
    This paper analyzed the principal problems of forest pest and disease prevention in cultivating rapid-growing and high-yield forest. As the farmers and technicians lack expert guidance in preventing forest pests and diseases and the deficiency of consultant experts on the ground floor, a new consulting service system platform with multi-functions integrating forest pests forecasting, diagnosis, prevention and control were constructed. It is based on B/S structure by using J2EE-based open source framework. With the platform the users can get the explicit instructions from Internet Explorer. The platform not only provides effective scientific advice and technical supports for large number of foresters and forest corporations, but also reduces reforestation risks and enlarges forest productivity. Moreover, the platform can also be used for training and educational purposes.
  • Keywords
    Java; diseases; forestry; public domain software; Internet Explorer; J2EE-based open source framework; diseases prevention; expert consulting service platform; forest pests forecasting; high-yield forest; Artificial intelligence; Computational intelligence; Control systems; Diseases; Ecosystems; Educational institutions; Forestry; Investments; Paper technology; Production; construction of forestry communication; diagnosis of foreat diseases and pests; expert consulting service platform; forest pests forecasting; rapid-growing and high-yield forest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.164
  • Filename
    5376397