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Pest Control Expert System for Tomato (PCEST)

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Abstract.

This paper presents a real-life pest control expert system for tomato. The system involves two main subtasks, namely: ‘diagnose’ and ‘treat’. The ‘diagnose’ subtask finds out the causes of the growers' complaints, while the ‘treat’ subtask finds out a treatment plan for these causes. CommonKADS methodology has been used to develop the system. Dependency network is used as one of our knowledge representation schemes in both subtasks. An expert system evaluation methodology has been suggested and applied to the developed system.

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Authors and Affiliations

  1. Central Lab for Agricultural Expert System, Gizza, Egypt, , , , , , EG

    El-Sayed El-Azhary, Hesham A. Hassan & A. Rafea

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  1. El-Sayed El-Azhary
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  2. Hesham A. Hassan
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  3. A. Rafea
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Additional information

Received May 1998 / Revised January 1999 / Accepted in revised form May 1999

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El-Azhary, ES., Hassan, H. & Rafea, A. Pest Control Expert System for Tomato (PCEST). Knowledge and Information Systems 2, 242–257 (2000). https://doi.org/10.1007/s101150050013

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  • DOI: https://doi.org/10.1007/s101150050013

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