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Design of inference rules for plant growth based on ontology

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Published:09 October 2015Publication History

ABSTRACT

Today's world has reached an age of advancing paradigms and technologies, where new technologies are emerging by the convergence of technologies of various fields. Among them, environmental monitoring systems refer to the systems that collect, process, analyze, and distribute monitoring information at any time through sensors installed in spaces or areas to be monitored. Until now, studies have been actively carried out for the collection, repository, and processing of the sensor data to establish environmental monitoring systems; however, an intelligent system for sensor networks has not yet been developed, which can provide useful information to the users by analyzing and processing sensor data in real-time. In this paper, a study was carried out for establishing a domain ontology by collecting environmental sensor data and for predicting the plant growth stage by applying inference rules designed based on the plant's environmental conditions.

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        cover image ACM Conferences
        RACS '15: Proceedings of the 2015 Conference on research in adaptive and convergent systems
        October 2015
        540 pages
        ISBN:9781450337380
        DOI:10.1145/2811411

        Copyright © 2015 ACM

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        Publication History

        • Published: 9 October 2015

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        RACS '15 Paper Acceptance Rate75of309submissions,24%Overall Acceptance Rate393of1,581submissions,25%
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