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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/3815
Title: | Intelligent Soybean Disease Tutor System |
Other Titles: | Not Avalilable |
Authors: | Savita Kolhe G.K Gupta |
Published/ Complete Date: | 2014-01-01 |
Project Code: | NRCS 7.3/2008 |
Keywords: | Intelligent Systems Soybean Fuzzy-logic Knowledge-base Knowledge acquisition |
Publisher: | Society for Soybean Research and Development (SSRD) |
Citation: | Savita Kolhe and G.K Gupta (2014), Intelligent Soybean Disease Tutor System. Soybean Research , Vol. 12 (Special Issue No. 2): 263-270. |
Series/Report no.: | Not Available; |
Abstract/Description: | Intelligent Soybean Disease Tutor System is developed using ASP .NET as a subsystem of Expert System of Soybean diseases at Directorate of Soybean Research. The dynamic knowledge base is implemented using SQL server. This paper presents the development of Intelligent Tutor System for Soybean Diseases. The methodology used for development of the system is discussed. The importance of the system as an effective training tool for different clientele is described. The functionality of the system is explained with the help of user interface for better understanding of the system. This system can augment the conventional educational methodologies in specific courses in plant pathology. The current tutor system will pave a way to transfer the disease management technology in user-friendly manner. |
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.: | 12(Special Issue Number 2) |
Page Number: | 263-270 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://soybeanresearch.in/pdf/2014-Special-Issue-II.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/3815 |
Appears in Collections: | CS-DSBR-Publication |
Files in This Item:
File | Description | Size | Format | |
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Chapter-34.pdf | 5.23 MB | Adobe PDF | View/Open |
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