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To fulfill the complexity of agriculture disease problem, fuzzy reasoning method is presented in agriculture disease diagnosis expert system; both positive and negative effects of disease symptoms on diagnosis results have been considered; weighed Euclidean distance method is introduced to calculate the comparability; effective diagnosis results and reliabilities are given out. Finally, a case study of flower is provided to show the reasoning process and examine the diagnosis results. ASP.NET and C# are applied in the system; SQL server 2005 is adopted for building database.
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on (Volume:3 )
Date of Conference: 14-16 Aug. 2009