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OPTIMIZING AGRICULTURAL DATA-QUALITY FROM HETEROGENEOUS ENVIRONMENT

J.S. Harilakshmanraj

Abstract


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.


Keywords


Pesticides information system, Agricultural information system, Clustering, Optimization, Agricultural data quality, Information system.

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References


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