A Web Based Expert System for Milch Cow Disease Diagnosis System in China

  • Libin Rong
  • Daoliang Li
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

A web-based multi-models expert system called DCDDS is presented in this paper, which developed for diagnosis of dairy cow diseases through the symptoms submitted by users on web. As it is accepted that the inference engine and the relevant knowledge representation are the crucial part of diagnosis expert system, which limits its application and popularization in animal disease diagnosis. To break the limit and raise accuracy, this paper compares and appraises the existed systems and presents a solution that contains three models-Case-based reasoning (CBR), Subjective Bayesian theory and D-S evidential theory. Accordingly a knowledge representation method which can support the three different models is also designed. Up to the complicacy of the group of symptoms users acquired, they can choose which of the three models should be adopted to meet the best resolve. The performance of the proposed system was evaluated by an application to the field of dairy cow disease diagnosis using a real example of dairy cow diseases. The result indicates that the new methods have improved the inference procedures of the expert systems, and have showed that the new architecture has some advantage over the conventional architectures of expert systems on both efficiency and accuracy.

Keywords

Dairy cow disease diagnosis Web-based expert system Case-based reasoning Subjective Bayesian theory D-S evidential theory China 

Reference

  1. Schreiber, G., Wielinga, B., de Hoog, R., Akkermans, H., van de Velde, W., CommonKADS: a comprehensive methodology for KBS development. IEEE Expert 12, 2837 (1994).Google Scholar
  2. Kramers, M.A., Conijn, C.G.M., Bastiaansen, C. EXSYS, an Expert System for Diagnosing Flowerbulb Diseases, Pests and Non-parasitic Disorders. Agricultural Systems Volume: 58, Issue: 1, September, 1998, pp. 57-85.CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Libin Rong
    • 1
  • Daoliang Li
    • 1
  1. 1.College of Information and Electrical EngineeringChina Agricultural UniversityChina

Personalised recommendations