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General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest,  INSPEC (IET), EBSCO, CNKI.
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2017 Vol.7(6): 161-167 ISSN: 2010-3719
DOI: 10.18178/IJIEE.2017.7.6.682

Modeling and Implementation of a Reactive Multi-Agents Based Greenhouse Control System

Tuncay Aydoğan and Serap Ergün
Abstract—This paper presents development of a greenhouse model, which has a reactive multi-agent system, for the optimization of ambient agents such as temperature, light, humidity, and CO2 ratio and it has been validated on a prototype. The greenhouses are substantial agricultural structures whose internal ecosystem characteristics show continuous dynamic changes. Multi agent systems are computer systems that can autonomy control systems with dynamic environmental characteristics by interacting with other agents. In the conceptual design of the developed model, the state and control variables of the greenhouse automation has been modeled as reactive multi agents and the behavior, duty, message and input/output features of these agents have been identified. In its software design, the conceptual design features have been modeled with UML class diagrams, sequence diagrams and pseudo codes. The models have been applied to a prototype with JADE.NET. It was observed that the agents in PC user interface successfully and autonomy controlled the greenhouse by interacting with each other.

Index Terms—Multi agent system, agent development platform, greenhouse control, JADE.NET.

The authors are with Suleyman Demirel University Faculty of Technology, Software Eng. Dept., Turkey (e-mail: tuncayaydogan@sdu.edu.tr).


Cite:Tuncay Aydoğan and Serap Ergün, "Modeling and Implementation of a Reactive Multi-Agents Based Greenhouse Control System," International Journal of Information and Electronics Engineering vol. 7, no. 6, pp. 161-167, 2017.

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