Abstract
Interoperability is a challenging issue faced by IoT developers all over the world. This is due to the fact that the IoT devices currently being used are utilizing a variety of data formats, protocols, and technologies for operation. As currently there are no standardized rules framed for IoT applications, interoperability tools remain limited. This paper focuses on the concept of developing a framework on the principles of interoperability for agriculture-related IoT devices. The proposed framework enables interoperability among heterogeneous devices. The data gathered from different sensors in the farms is semantically annotated and presented in a user-friendly manner. A lightweight semantic annotation model is used to annotate the data. Resource Description Framework (RDF) is used to provide semantic functionality to the data. The proposed framework helps in providing interoperability to the heterogeneous data gathered from IoT devices.
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Khatoon, P.S., Ahmed, M. (2021). Semantic Interoperability for IoT Agriculture Framework with Heterogeneous Devices. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_34
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DOI: https://doi.org/10.1007/978-981-15-7234-0_34
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