Title: An ontology-driven system architecture for precision agriculture applications

Authors: Christos Goumopoulos, Achilles D. Kameas, Alan Cassells

Addresses: Computer Technology Institute, Designing Ambient Information Systems Group, N. Kazantzaki, 26500 Rio Patras, Hellas, Greece. ' Computer Technology Institute, Designing Ambient Information Systems Group, N. Kazantzaki, 26500 Rio Patras, Hellas, Greece. ' Department of Zoology, Ecology and Plant Science, National University of Ireland Cork, Distillery Fields, North Mall, Cork, Ireland

Abstract: Our research has been performed in the context of the EU-funded R&D project PLANTS. In this paper, we describe an ontology-driven architecture for developing systems that can be used in precision agriculture applications. Central to our approach is the use of an ontology, which views plants and associated computation as an integral part and allows the interaction of plants and artefacts in the form of synergistic mixed societies. PLANTS ontology sets up a conceptual framework that combines the knowledge about sensors, actuators and other domain concepts available, on the one hand, and the biological studies about plant stressing and sensing mechanisms and consequent plant behaviour, on the other hand, to make plants a proactive component of agricultural systems.

Keywords: ontology; system architecture; proactive computing; precision agriculture; sensors; actuators; plant stressing; sensing mechanisms; plant behaviour; agricultural systems.

DOI: 10.1504/IJMSO.2009.026256

International Journal of Metadata, Semantics and Ontologies, 2009 Vol.4 No.1/2, pp.72 - 84

Published online: 30 May 2009 *

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