6-8 May 2019
WCW Congress Centre
Europe/Amsterdam timezone

CEBA, an Environmental cloud for the benefit of agriculture

Not scheduled
WCW Congress Centre

WCW Congress Centre

Science Park 123 1098 XG Amsterdam


Vincent Breton (CNRS)


The CEBA initiative (Environmental cloud for the benefit of agriculture) gathers scientists, crop companies and SMEs around the common goal of collecting all relevant information in a centralized repository to monitor environmental systems, predict their evolution and therefore their impact on territories, including targeted agricultural systems, and develop decision support tools for local authorities and farmers. The Environmental Cloud is structured as a data lake. Data Lakes allow to store structured data like relational databases and semi-structured data like mobile apps, IoT devices, and unstructured data such as social media. They also give the ability to understand what data is in the lake through crawling, cataloging, and indexing of data. Legacy environmental databases are currently being migrated. Semi-structured and unstructured data are processed to the data lake by wireless sensor networks that are under deployment in several environmental sites in Auvergne, including agricultural parcels, an old riverbed, a lake and a former uranium mine labelled as Long Term Socio-Ecological Research Observatory belonging to the Zones-Ateliers French Network and registered in the eLTER Research Infrastructure database of sites (https://deims.org/915cb2eb-ed08-4b02-9d16-1f4d688e912b). Sensor data are collected at site level on gateways using the low-power wide area LoRa network technology that provides secure, bidirectional, low-power, long-range communication through both free and paid network services. Its wireless signals can reach across great distances, delivering tiny packets of data to and from multiple low-power node devices. The Environmental Cloud will also receive unstructured data from instrumented agricultural parcels within the framework of the Territorial Initiative Laboratory (LIT), a living lab led by Céréales Vallée, a cluster of innovative SMEs, and dedicated to innovation in agriculture. Living Labs are defined as user-centred, open innovation ecosystems based on systematic user co-creation approach, integrating research and innovation processes in real life communities and settings. Data coming from wireless network are collected, ingested, transformed and published with the Elastic Stack©. The choice of this solution has been driven by some criteria such scalability, distributed storage, query language, easiness to include new data source and data visualization. The combination of Logstash (to collect, transform and ingest data coming from delimited text files, database and json files) and Kibana (dashboards for the sensors and sites have been designed) and Elasticsearch has made possible the proof of concept to use this solution for environmental data management and share. The Environmental Cloud servers are based at the Mesocentre Clermont Auvergne, Clermont Auvergne University computing center hosting France Grilles Auvergrid node since 2010. Thank to regional, national and European structural funds, the computing center is offering new computing resources from January 2019 on a new open stack production cloud that will be available to deploy regional climatic models and run machine learning software to design decision support tools based on the Environmental Cloud data.
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Vincent Breton (CNRS)

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