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
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.
Proceedings 21st International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2019
13
23
Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/696449
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 5
social impact