Ontology for Smart Viticulture: Integrating Inference Rules Based on Sensor Data

Abstract

Smart farming is coming with a clear promise to mitigate the myriad of threatens faced by vineyards. In this respect, relying on sensor data, new challenges are rising in order to proactively warn farmers. In this paper, we introduce the SmartVine approach, which extracts knowledge from collected data, converts it into inference rules and integrates them into the reasoning process of the system. In the sake of efficiency, generic bases of association rules are extracted, mapped then to SWRL rules and later used for the enrichment process of the ontology.