Abstract | ||
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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. |
Year | DOI | Venue |
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2009 | 10.1504/IJMSO.2009.026256 | IJMSO |
Keywords | DocType | Volume |
precision agriculture.,EU-funded R,precision agriculture application,D project PLANTS,ontology,PLANTS ontology set,biological study,consequent plant behaviour,conceptual framework,ontology-driven system architecture,associated computation,proactive computing,system architecture,domain concept,agricultural system,integral part | Journal | 4 |
Issue | Citations | PageRank |
1/2 | 6 | 1.04 |
References | Authors | |
7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christos Goumopoulos | 1 | 104 | 18.60 |
Achilles D. Kameas | 2 | 15 | 3.62 |
Alan Cassells | 3 | 6 | 1.04 |