QPAIS: A web-based expert system for assisted identification of quarantine stored insect pests

Han Huang, Edwin G. Rajotte, Zhihong Li, Ke Chen, Shengfang Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationComputer and Computing Technologies In Agriculture II, Volume 1
Subtitle of host publicationThe Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing
EditorsDaoliang Li, Chunjiang Zhao
Pages701-714
Number of pages14
DOIs
StatePublished - Dec 1 2009

Publication series

NameIFIP International Federation for Information Processing
Volume293
ISSN (Print)1571-5736

Fingerprint

Expert system
Web-based
Quarantine
Pest
Inspection
Testing
China
Invasive species
Language
System evaluation
Inference
Economic loss

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

Cite this

Huang, H., Rajotte, E. G., Li, Z., Chen, K., & Zhang, S. (2009). QPAIS: A web-based expert system for assisted identification of quarantine stored insect pests. In D. Li, & C. Zhao (Eds.), Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing (pp. 701-714). (IFIP International Federation for Information Processing; Vol. 293). https://doi.org/10.1007/978-1-4419-0209-2-72
Huang, Han ; Rajotte, Edwin G. ; Li, Zhihong ; Chen, Ke ; Zhang, Shengfang. / QPAIS : A web-based expert system for assisted identification of quarantine stored insect pests. Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. editor / Daoliang Li ; Chunjiang Zhao. 2009. pp. 701-714 (IFIP International Federation for Information Processing).
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title = "QPAIS: A web-based expert system for assisted identification of quarantine stored insect pests",
abstract = "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.",
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Huang, H, Rajotte, EG, Li, Z, Chen, K & Zhang, S 2009, QPAIS: A web-based expert system for assisted identification of quarantine stored insect pests. in D Li & C Zhao (eds), Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. IFIP International Federation for Information Processing, vol. 293, pp. 701-714. https://doi.org/10.1007/978-1-4419-0209-2-72

QPAIS : A web-based expert system for assisted identification of quarantine stored insect pests. / Huang, Han; Rajotte, Edwin G.; Li, Zhihong; Chen, Ke; Zhang, Shengfang.

Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. ed. / Daoliang Li; Chunjiang Zhao. 2009. p. 701-714 (IFIP International Federation for Information Processing; Vol. 293).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Huang H, Rajotte EG, Li Z, Chen K, Zhang S. QPAIS: A web-based expert system for assisted identification of quarantine stored insect pests. In Li D, Zhao C, editors, Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. 2009. p. 701-714. (IFIP International Federation for Information Processing). https://doi.org/10.1007/978-1-4419-0209-2-72