Presentation by Karel Charvat delivered at the 3rd BDE SC2 workshop in Brussels, 31/3/2017

1. This document is part of a project that has received funding from
the European Union’s Horizon 2020 research and innovation programme
under 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

2. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under 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 data
Total budget= 16,2 M€
48 partners, 10 of which are BDVA
members
71 Associate partners
Duration: 01/01/2017 – 31/12/2019

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

4. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
4Concept and methodology
◦ 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).

5. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
5Concept and methodology

6. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
6Combining Bottom Up with Top Down principles

7. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
7EO Interfaces

8. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
8Sensors

9. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
9Data Models

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

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

12. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
12Partner technologies or solutions NeuroPublic Gaia

13. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
13Partner technologies or solutions NeuroPublic Gaia

14. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
14Partner technologies or solutions TerraSigna

15. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
15Partner technologies or solutions E-GEOS

16. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
16Partner technologies or solutions VITO

17. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
17Partner technologies or solutions CSEM

18. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
18Partner technologies or solutions Lesprojekt

19. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
19Partner technologies or solutions Lesprojekt

20. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
20Partner technologies or solutions UWB

21. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
21
Thank you for attention
charvat@lesprojekt.cz