bde sc2 workshop 3: databio

This document is part of a project that has received funding fromthe European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. Find us at www.databio.eu

H2020 BIG DATA LIGHTHOUSE PILOT DATABIO

Karel Charvat with support of DataBio team

“European Policy Perspectives on Data-intensive Agriculture & Food”2nd Joint workshop of Big Data Europe & GODAN

Lesprojekt sluzby

Brussels, 31 March 2017

This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. Find us at www.databio.eu

2The project in a nutshell

• The industrial domain addressed

• Bioeconomy • Production of best possible raw materials from

agriculture, forestry and fishery for the Bioeconomy industry to produce food, energy and biomaterials

• The current landscape

• Few large ICT vendors so far

• The opportunity

• Bioeconomy can get a boost from Big Data. • Farm machines, fishing vessels, forestry

machinery and remote and proximal sensors collect large quantities data.

• Large scale data collection and collation enhances knowledge to increase performance and productivity in a sustainable way.

• DataBio’s vision for influencing the domain

• Showcase the benefits of Big Data technologies in the raw material production for the bioeconomy industry

• Increase participation of European ICT industry

Project dataTotal budget= 16,2 M€48 partners, 10 of which are BDVA members71 Associate partnersDuration: 01/01/2017 – 31/12/2019


3Concept and methodology

DataBio will build a platform suitable for different industries and user profiles

◦ Capability to handle distributed, heterogeneous and very large datasets

◦ Configure predictive analytics and machine learning components

◦ Mechanisms for real time analytics and stream processing

◦ Solutions for managing storage and queries of various big data sources

◦ Integrated advanced visualization services

◦ Big data acquisition and curation with security/privacy support

◦ Easily replicated due to using standard systems and known best practices



◦ Variety (managing integration of all the heterogeneous data from the past - using Linked (Open) Data and semantics/ontologies etc. - and data access, queries, reporting etc. for data preparation).

Descriptive analytics and classical query/reporting (performance data, transactional data, attitudinal data, descriptive data, behavioral data, location-related data, interactional data, from many different sources)

◦ Velocity (managing real time/sensor data from the present - complex event processing, Apache Kafka/Storm etc.)

Monitoring and real-time analytics - pilot services (in need of Velocity processing - and handling of real-time data from the present) - trigging alarms, actuators etc.

◦ Volume (mining all the data with respect to prediction and forecasting for the future - using various types of machine learning and inductive statistical methods).

Forecasting, Prediction and Recommendation analytics - pilot services (in need of Volume processing - and processing of large amounts of data combining knowledge from the past and present, and from models, to provide insight for the future).


6Combining Bottom Up with Top Down principles


7EO Interfaces


8Sensors


9Data Models


10WP1 Agriculture

• Detail the pilots to be implemented on top of the provided common infrastructure;

• Provide the integrated for plots, giving access to all the tools developed and to the required execution resources (in terms of data and computation);

• Implement the detailed pilots according to the designs, using the e-Infrastructure services;

• The Big technologies will be tested in three areas arable farming, horticulture and Subsidies an insurance, where every area will be tested in in sub-pilots with different topics and running in different countries.


11WP1 Agriculture

Precision Horticulture including vine and olives

• Precision agriculture in olives, fruits, grapes and vegetables

• Big Data management in greenhouse eco-systems

Arable Precision Farming

• Cereals and biomass crops

• Machinery management

Subsidies and insurance

• Insurance

• CAP reform


12Partner technologies or solutions NeuroPublic Gaia


13Partner technologies or solutions NeuroPublic Gaia


14Partner technologies or solutions TerraSigna


15Partner technologies or solutions E-GEOS


16Partner technologies or solutions VITO


17Partner technologies or solutions CSEM


18Partner technologies or solutions Lesprojekt


19Partner technologies or solutions Lesprojekt


20Partner technologies or solutions UWB


21

Thank you for attention

[email protected]

bde sc2 workshop 3: databio

Data & Analytics