Modern agricultural management relies strongly on many different sensing methodologies to provide accurate information on crop, climate, and environmental conditions. Strong challenges in Decision Support Systems still regard the way a smart IoT-based architecture is designed in order to make it robust with respect to the contextual changes it continually undergoes. In this paper we propose an extensible self-adaptive Decision Support System for managing heterogeneous data sources
Ontology-based reflective Iot middleware-enabled agriculture Decision Support System / Di Noia, Tommaso; Mongiello, Marina; Nocera, Francesco; Di Sciascio, Eugenio. - ELETTRONICO. - (2016). (Intervento presentato al convegno 9th International Conference Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2016).
Ontology-based reflective Iot middleware-enabled agriculture Decision Support System
Di Noia, Tommaso;Marina, Mongiello;Francesco, Nocera;Eugenio, Di Sciascio
2016-01-01
Abstract
Modern agricultural management relies strongly on many different sensing methodologies to provide accurate information on crop, climate, and environmental conditions. Strong challenges in Decision Support Systems still regard the way a smart IoT-based architecture is designed in order to make it robust with respect to the contextual changes it continually undergoes. In this paper we propose an extensible self-adaptive Decision Support System for managing heterogeneous data sourcesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
