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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/16077
Title: | Expert system for identification of weed seedlings |
Other Titles: | Not Available |
Authors: | V.S.G.R. Naidu H. Ravisankar Sandeep Dhagat Virendra Kamalvanshi 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: | 2013 |
Project Code: | Not Available |
Keywords: | Agriculture Identification Information Knowledge Expert system Weed seedling |
Publisher: | Indian Society of Weed Science |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Weeds can be controlled effectively only when the management practices are employed at and early growth stage. Therefore, identifying weeds at seedlings stage is very essential for designing an efficient strategy for their management. However, it is a difficult task unless one has enough knowledge and experience. To help identifying weeds at seedling stage, an expert system has been developed at the Directorate. The expert system uses scientific name-based classification and a mix of the text description and images. The system is supported by a database containing information on 138 weed species with colour images of weed seedling at five growth stages. The expert system was evaluated following the conventional expert system evaluation methodologies. Results indicated that non-expert users were able to make weed seedling identification using the expert system more efficiently. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Weed Science |
NAAS Rating: | 5.84 |
Volume No.: | 45(4) |
Page Number: | 278–281 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/16077 |
Appears in Collections: | CS-CTRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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weed_paper.pdf | 783.71 kB | Adobe PDF | View/Open |
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