Agricultural domain presents challenges typical of the Cyber-Physical Systems field and the hard-core of information technology industry of the new generation, such as Cloud computing and Internet of Things. In fact, modern agricultural management strongly relies on many different sensing methodologies to provide accurate information about crop, climate, and environmental conditions. In this paper we propose an approach to model a mobile-driven and distributed Complex Event Processing solution which is enabled by an IoT middleware. The proposed framework is robust with reference to contextual and environmental changes also thanks to the exploitation of an ontological model
Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management / Nocera, Francesco; Di Noia, Tommaso; Mongiello, Marina; Di Sciascio, Eugenio. - ELETTRONICO. - (2017), pp. 610-617. (Intervento presentato al convegno 7th International Conference on Cloud Computing and Services Science, CLOSER 2017 tenutosi a Oporto, Portugal nel April 24-26, 2017) [10.5220/0006369506380645].
Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management
Nocera, Francesco;Di Noia, Tommaso;Mongiello, Marina;Di Sciascio, Eugenio
2017-01-01
Abstract
Agricultural domain presents challenges typical of the Cyber-Physical Systems field and the hard-core of information technology industry of the new generation, such as Cloud computing and Internet of Things. In fact, modern agricultural management strongly relies on many different sensing methodologies to provide accurate information about crop, climate, and environmental conditions. In this paper we propose an approach to model a mobile-driven and distributed Complex Event Processing solution which is enabled by an IoT middleware. The proposed framework is robust with reference to contextual and environmental changes also thanks to the exploitation of an ontological modelI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.