Referenced Items are not available for this document.
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.
Published in:
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
(Volume:3
)
Date of Conference: 14-16 Aug. 2009
- Page(s):
- 39 - 43
- Print ISBN:
- 978-0-7695-3735-1
- INSPEC Accession Number:
- 11046966
- Conference Location :
- Tianjin
- Digital Object Identifier :
- 10.1109/FSKD.2009.512
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