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OPTIMIZING AGRICULTURAL DATA-QUALITY FROM HETEROGENEOUS ENVIRONMENT

International Journal of Social and Allied Research

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Title OPTIMIZING AGRICULTURAL DATA-QUALITY FROM HETEROGENEOUS ENVIRONMENT
 
Creator Harilakshmanraj, J.S.; M.E (Software Engineering), Sree Ramakrishna Engineering College, Coimbatore-641022, Tamil Nadu, India.
 
Subject Management Information Sustem
Pesticides information system, Agricultural information system, Clustering, Optimization, Agricultural data quality, Information system.
Agricultural Information System
 
Description Quality assurance towards the product has been a difficult task now a day. We can’t assume any product as best and optimistic one, without examining. In major real-time systems, information that are present or that are shared to end-user are not the optimistic one. Some optimization algorithm or techniques should be used, to optimize the data quality. This paper states, how data is been optimized in Agricultural Information System (AIS), using “ANT-BASED CLUSTERING ALGORITHM”, and also discusses, how optimized data is been exacted from heterogeneous database.
 
Publisher SPEAK Foundation
 
Contributor
 
Date 2014-02-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

Exploratory Study
 
Format application/pdf
 
Identifier http://journals.foundationspeak.com/index.php/ijsar/article/view/113
 
Source International Journal of Social and Allied Research (IJSAR); Vol 2, No 2 (2014): IJSAR - Feb 2(2) 2014; 84-90
2349-9311
2319-3611
 
Language eng
 
Relation http://journals.foundationspeak.com/index.php/ijsar/article/view/113/115
 
Coverage Worldwide

Secondary Data
 
Rights Copyright (c) 2017 International Journal of Social and Allied Research (IJSAR)