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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/3818
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Savita Kolhe | en_US |
dc.contributor.author | Raj Kamal | en_US |
dc.contributor.author | Harvinder S. Saini | en_US |
dc.contributor.author | G. K. Gupta | en_US |
dc.date.accessioned | 2017-05-02T07:49:09Z | - |
dc.date.available | 2017-05-02T07:49:09Z | - |
dc.date.issued | 2009-01-01 | - |
dc.identifier.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. | en_US |
dc.identifier.issn | 0973-1830 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/3818 | - |
dc.description | Not Available | en_US |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Society for Soybean Research and Development(SSRD) | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Disease diagnosis | en_US |
dc.subject | fuzzy-logic | en_US |
dc.subject | expert system | en_US |
dc.subject | knowledge base | en_US |
dc.subject | rule patterns | en_US |
dc.subject | text-to-speech | en_US |
dc.title | A fuzzy-logic based on-line disease diagnosis system for soybean | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Soybean Research | en_US |
dc.publication.volumeno | 7(2) | en_US |
dc.publication.pagenumber | 73-81 | en_US |
dc.publication.divisionUnit | Crop Production | en_US |
dc.publication.sourceUrl | http://soybeanresearch.in/pdf/Soybean-Research-7-2009.pdf | en_US |
dc.publication.naasrating | Not Available | en_US |
Appears in Collections: | CS-DSBR-Publication |
Files in This Item:
File | Description | Size | Format | |
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A fuzzy-logic based on-line disease diagnosis systemSoybean-Research-7-2009.pdf | 323.06 kB | Adobe PDF | View/Open |
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