Semantic web enabled smart farming

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Gaire, Raj; Lefort, Laurent; Compton, Michael; Falzon, Greg; Lamb, David; Taylor, Kerry


2013-10-22


Conference Material


1st International Workshop on Semantic Machine Learning and Linked Open Data (SML2OD2013) for Agricultural and Environmental Informatics, Sydney, Australia, 21-25 October, 2013


41-44


Sensors have been used in agriculture to quantitatively monitor and control farming activities. Middlewares like GSN have been developed to manage sensor stream data, while Semantic Sensor Network (SSN) ontology and Linked Data have been developed to describe sensor networks and enable sharing of data over the web respectively. Creating a semantic web enabled sensor network in a farm that can integrate not only data but also things in the farm, the farmers and other users is a challenge. In this paper, we present our Kirby Smart Farm as a prototypical livestock smart farm system with an architecture for rapid development. We have used RabbitMQ and Virtuoso together with our GSN extended for RDF data generation, geo-spatial analysis and complex event processing to achieve a connected smart farm. The data collected from our smart farm sensor network has created new opportunities for semantic machine learning in a farming context.


SML2OD2013


Decision Support and Group Support Systems


Accepted Version (pdf) (191KB)


Link to Publisher's Version


© 2013 CSIRO


SML2OD2013 held in conjunction with the 12th International Semantic Web Conference (ISWC 2013), on 22nd October 2013, in Sydney, Australia. Cuer Workshop proceedings Vol. 1035


EP138378


Conference Paper - Refereed


English


1613-0073


Gaire, Raj; Lefort, Laurent; Compton, Michael; Falzon, Greg; Lamb, David; Taylor, Kerry. Semantic web enabled smart farming. In: 1st International Workshop on Semantic Machine Learning and Linked Open Data (SML2OD2013) for Agricultural and Environmental Informatics; 21-25 October, 2013; Sydney, Australia. SML2OD2013; 2013. 41-44. http://hdl.handle.net/102.100.100/96280?index=1



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