Qpais: A Web-Based Expert System for Assistedidentification of Quarantine Stored Insect Pests

  • Han Huang
  • Edwin G. Rajotte
  • Zhihong Li
  • Ke Chen
  • Shengfang Zhang
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 293)


Stored insect pests can seriously depredate stored products causing worldwide economic losses. Pests enter countries traveling with transported goods. Inspection and Quarantine activities are essential to prevent the invasion and spread of pests. Identification of quarantine stored insect pests is an important component of the China's Inspection and Quarantine procedure, and it is necessary not only to identify whether the species captured is an invasive species, but determine control procedures for stored insect pests. With the development of information technologies, many expert systems that aid in the identification of agricultural pests have been developed. Expert systems for the identification of quarantine stored insect pests are rare and are mainly developed for stand-alone PCs. This paper describes the development of a web-based expert system for identification of quarantine stored insect pests as part of the China 11th Five-Year National Scientific and Technological Support Project (115 Project). Based on user needs, textual knowledge and images were gathered from the literature and expert interviews. ASP.NET, C# and SQL language were used to program the system. Improvement of identification efficiency and flexibility was achieved using a new inference method called characteristic-select-based spatial distance method. The expert system can assist identifying 150 species of quarantine stored insect pests and provide detailed information for each species. The expert system has also been evaluated using two steps: system testing and identification testing. With a 85% rate of correct identification and high efficiency, the system evaluation shows that this expert system can be used in identification work of quarantine stored insect pests.


Expert System Insect Pest Inference Method Characteristic Choice Taxonomy Expert 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Han Huang
    • 1
  • Edwin G. Rajotte
    • 2
  • Zhihong Li
    • 1
    • 4
  • Ke Chen
    • 3
  • Shengfang Zhang
    • 3
  1. 1.Department of Plant Protection and QuarantineChina Agricultural UniversityBeijingP.R. China
  2. 2.Department of EntomologyPenn State UniversityPennsylvaniaUSA
  3. 3.Animal and Plant Quarantine InstituteChina National Academy of Inspection and QuarantineBeijingP. R. China
  4. 4.Department of Plant Protection and Quarantine, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingP. R. China

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