Résumé:
Bringing Big data technologies into agriculture
presents a significant challenge; at the same time, this technology
contributes effectively in many countries’ economic and social
development. In this work, we will study environmental data
provided by precision agriculture information technologies, which
represents a crucial source of data in need of being wisely
managed and analyzed with appropriate methods and tools in
order to extract the meaningful information.
Our main purpose through this paper is to propose an
effective Big data architecture based on profiling system which
can assist (among others) producers, consulting companies, public
bodies and research laboratories to make better decisions by
providing them real time data processing, and a dynamic big data
service composition method, to enhance and monitor the agricultural productivity. Thus, improve their traditional decisionmaking process, and allow better management of the natural
resources
