Enabling semantic interoperability for smart farming
SI2M Laboratory, National Institute of Statistics and Applied Economics (INSEA), B.P. 6217, Rabat, 10112, Morocco.
*Correspondence: n.smaili@insea.ac.ma
Abstract:
The strain on food security, environmental health, ecosystems, and fertile land, driven by a growing global population, can be alleviated through sustainable agriculture. To navigate this critical situation, it is essential to leverage existing technologies. The advent of the Fourth Industrial Revolution and the evolution of the internet have opened up new possibilities such as precision agriculture, IoT-based farming, and data-driven analytics for the agriculture sector. One promising approach is the utilization of semantic web technologies in smart farming. This article presents an ontology-based method designed to enable semantic interoperability across various smart farming systems. By merging and integrating existing domain ontologies, a unified framework is proposed, that facilitates seamless data exchange, enhances decision-making, and addresses key challenges in sustainable agriculture.
Key words:
IoT, ontology, semantic interoperability, semantic web of things, smart farming