Irrigation Scheduling Configuration System Based on Expert Systems and Operations Research

نویسندگان

  • Mostafa Khalil
  • Iman Hassan
  • Mohamed Rasmy
  • Ahmed A. Rafea
چکیده

This paper presents configuration of knowledge to solve irrigation scheduling problem in agriculture domain and a general approach for configuration management knowledge throughout the integration between operations research and expert systems approach. This work has established new configuration structure for an Irrigation Scheduling Configuration System suitable for CommonKADS Layers to produce the configuration irrigation scheduling system. This structure supports the knowledge acquisition process and the generation of suitable alternative scheduling systems. This helps the knowledge engineer to build a new simpler, quicker and more effective system, and reusing the already existing components in similar systems. By using the proposed tool, the developers can generate or update their systems to include the growing expertise and techniques. This work is also new in generating multiple suitable alternative scheduling systems in the agricultural domain according to the user requirements, and aids the decision maker to select the appropriate one.

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تاریخ انتشار 2006