Abstract
This paper proposes a context data model for intelligent livestock farm management for providing intelligent service to users by utilizing livestock farm environment & situation information through RDF-based context model based on the raw level sensing data collected from sensor nodes at WSN-based ubiquitous livestock farm. An optimal livestock breeding environment is created by providing intelligent service upon utilizing environment & situation-context information based on the sensor data collected from livestock farm through the proposed context data model. Productivity can be increased through this by reducing production cost, as well as produce high-quality stock farm products.
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Kim, H., Cho, Y., Yoe, H. (2012). Intelligent Livestock Farm Management for Context Data Model Design. In: Cho, Hs., Kim, Th., Mohammed, S., Adeli, H., Oh, Mk., Lee, KW. (eds) Green and Smart Technology with Sensor Applications. ICTSM SIA GST 2011 2012 2012. Communications in Computer and Information Science, vol 338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35251-5_40
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DOI: https://doi.org/10.1007/978-3-642-35251-5_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35250-8
Online ISBN: 978-3-642-35251-5
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