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The Flower Disease Diagnosis Expert System

Author: YuLing
Tutor: ZhaoChunSen
School: Huazhong Agricultural University
Course: Plant Pathology
Keywords: Expert system Flower Disease Disease diagnosis ASP.NET
CLC: S126
Type: Master's thesis
Year: 2006
Downloads: 346
Quote: 8
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Abstract


With the rapid development of computer technology , agriculture information technology will become a powerful weapon of the weak to overcome the the traditional agricultural inherent industry , agricultural expert system is bound to become one of the most important driving force . Flower disease diagnosis expert system is a and flower disease diagnostic knowledge systems and expert system technology , so that users can diagnose flowers disease , and at any time and get flowers disease related information and prevention strategies , with a strong and value in use . This paper describes the flowers disease diagnosis expert system building process and development of key points . Compare domestic and foreign agricultural expert system concept based on a detailed demonstration of the system . The system uses a \The system is based on the Internet , to expand the range of applications to improve the compatibility of the system , allows the system to adapt to the trend of network development . The knowledge base and inference engine separation approach to enhance the scalability of the system , reduce the complexity of system maintenance , and reduce the system update and maintain the required workload . Flowers disease diagnosis expert system structure is divided into six modules to facilitate the flowers disease diagnosis , query , browse and learn from each other , and also covers the standards and information in flower production . Flowers disease diagnosis expert system for flower production practice activities provide scientific guidance , it will bring significant social and economic benefits .

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Agricultural physics > Electronic technology, computer technology in agriculture
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