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Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent Technology

Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent Technology

Ilham Kitouni, Djamel Benmerzoug, Fouzi Lezzar
Copyright: © 2018 |Volume: 30 |Issue: 4 |Pages: 19
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781522542230|DOI: 10.4018/JOEUC.2018100105
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MLA

Kitouni, Ilham, et al. "Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent Technology." JOEUC vol.30, no.4 2018: pp.64-82. http://doi.org/10.4018/JOEUC.2018100105

APA

Kitouni, I., Benmerzoug, D., & Lezzar, F. (2018). Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent Technology. Journal of Organizational and End User Computing (JOEUC), 30(4), 64-82. http://doi.org/10.4018/JOEUC.2018100105

Chicago

Kitouni, Ilham, Djamel Benmerzoug, and Fouzi Lezzar. "Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent Technology," Journal of Organizational and End User Computing (JOEUC) 30, no.4: 64-82. http://doi.org/10.4018/JOEUC.2018100105

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Abstract

This article describes how the Internet of Things (IoT) and its smart objects will be the fundamental building blocks for the creation of smart pervasive systems. Precision Agriculture can be defined as the use of information, communications technologies and electronic devices in agricultural practice, to improve agricultural production. This article addresses the problem of modelling Precision Agriculture systems. The authors propose an Agent-based approach for an effective integration of the IoT technology in Agricultural Enterprise systems. The proposed approach is based on Agent Interaction Protocols (AiP) through which they specify complex services of the system by recognizing larger chunks that have a meaning in the application domain. The AiP supports the modelling of composite services as entities whose business logic involves a number of interactions among more elementary service components. The authors present an agent-based system architecture whose main goal is to address interoperability issues between heterogeneous IoT-based services by offering a harmonized API.

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