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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
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
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
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).
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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

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eROSA Policy WS1: Databio Project Overview

  • 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