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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/16076
Title: | Expert System for Identification of Weeds |
Other Titles: | Not Available |
Authors: | V.S.G.R. Naidu H. Ravisankar Sandeep Dhagat V. Kamala Vansi A.R. Sharma |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Directorate of Weed Research ICAR-CENTRAL TOBACCO RESEARCH INSTITUTE |
Published/ Complete Date: | 2014 |
Project Code: | Not Available |
Keywords: | Agriculture Identification Information Knowledge System Weed |
Publisher: | Indian Society of Weed Science |
Citation: | 17 |
Series/Report no.: | Not Available; |
Abstract/Description: | Identification of weeds is essential for designing an efficient strategy for their management. However, it is a difficult task requiring expert knowledge and experience. An expert system to help researchers, farmers, extension workers and students to identify weed species of crop and non-crop lands has been developed at the Directorate of Weed Science Research, Jabalpur. The expert system uses family, scientific, common name-based classification and a mix of the text description and photographs. The system is supported by a database containing information about 337 weed species with colour images. The expert system was evaluated following the conventional expert system evaluation methodologies. Results indicated that non-expert users were able to make weed identification using the expert system efficiently. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | International Journal of Applied Research on Information Technology and Computing |
NAAS Rating: | Not Available |
Volume No.: | 5(1) |
Page Number: | 48-54 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available 10.5958/j.0975-8089.5.1.005 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/16076 |
Appears in Collections: | CS-CTRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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weed_seeds_paper.pdf | 1.06 MB | Adobe PDF | View/Open |
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