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http://krishi.icar.gov.in/jspui/handle/123456789/3818| Title: | A fuzzy-logic based on-line disease diagnosis system for soybean |
| Other Titles: | Not Available |
| Authors: | Savita Kolhe Raj Kamal Harvinder S. Saini G. K. Gupta |
| Published/ Complete Date: | 2009-01-01 |
| Project Code: | Not Available |
| Keywords: | Disease diagnosis fuzzy-logic expert system knowledge base rule patterns text-to-speech |
| Publisher: | Society for Soybean Research and Development(SSRD) |
| Citation: | Savita Kolhe, Raj Kamal, Harvinder S. Saini and G. K. Gupta(2009), A fuzzy-logic based on-line disease diagnosis system for soybean. Soybean Research, 7(2):73-81. |
| Series/Report no.: | Not Available; |
| Abstract/Description: | This paper presents a fuzzy-logic based on-line disease diagnosis system for soybean. The novel fuzzy-logic approach used is the rule-promotion or empowerment methodology for improved diagnostic judgments. The system developed also uses the concepts of text-to-speech conversion tools to introduce an intelligent multimedia interface into the system. The system is developed using ASP.NET web-application framework provided in Microsoft Visual Studio. NET. The source code for O-O inference engine is written using C#. The Microsoft Speech SDK (5.1) is used to develop text to voice multimedia interface. The dynamic knowledge base is implemented using SQL server. |
| Description: | Not Available |
| ISSN: | 0973-1830 |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Soybean Research |
| NAAS Rating: | Not Available |
| Volume No.: | 7(2) |
| Page Number: | 73-81 |
| Name of the Division/Regional Station: | Crop Production |
| Source, DOI or any other URL: | http://soybeanresearch.in/pdf/Soybean-Research-7-2009.pdf |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/3818 |
| Appears in Collections: | CS-DSBR-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A fuzzy-logic based on-line disease diagnosis systemSoybean-Research-7-2009.pdf | 323.06 kB | Adobe PDF | View/Open |
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