In this paper we present a platform that implements a BI 2.0 architecture to support decision making in the precision agriculture domain. The platform, outcome of the Mo.Re.Farming project, couples traditional and big data technologies and integrates heterogeneous data from several owned and open data sources; its goal is to verify the feasibility and the usefulness of a data integration process that supports situ-specific and large-scale analyses made available by integrating information at different levels of detail.
A Hybrid Architecture for Tactical and Strategic Precision Agriculture / Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi. - ELETTRONICO. - (2019), pp. 13-23. (Intervento presentato al convegno 21st International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2019 tenutosi a Linz, Austria nel 26-29/8/2019) [10.1007/978-3-030-27520-4_2].
A Hybrid Architecture for Tactical and Strategic Precision Agriculture
Enrico Gallinucci;Matteo Golfarelli;Stefano Rizzi
2019
Abstract
In this paper we present a platform that implements a BI 2.0 architecture to support decision making in the precision agriculture domain. The platform, outcome of the Mo.Re.Farming project, couples traditional and big data technologies and integrates heterogeneous data from several owned and open data sources; its goal is to verify the feasibility and the usefulness of a data integration process that supports situ-specific and large-scale analyses made available by integrating information at different levels of detail.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
