Enabling semantic interoperability for smart farming

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.

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Publication Details

Journal
Eesti Maaülikool. EMU Dspace
Published
2025-01-01
DOI
https://doi.org/10.15159/ar.25.021
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Enabling semantic interoperability for smart farming

Eesti Maaülikool. EMU Dspace
Smart Agriculture and AI
article

Enabling semantic interoperability for smart farming

article en

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.

Eesti Maaülikool. EMU Dspace
Institut National de Statistique et d'Economie Appliquée (MA)
Zero hunger
Openalex Percentile: Top 36%
Smart Agriculture and AI
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