1. H2020 Big Data Lighthouse Pilot DataBio
Karel Charvat with support of DataBio team
Lesprojekt sluzby
“European Policy Perspectives on Data-intensive Agriculture & Food”
2nd Joint workshop of Big Data Europe & GODAN
Brussels, 31st March 2017

2. The 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. Concept 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. Concept 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. Concept and methodology

6. Combining Bottom Up with Top Down principles

7. Big Data Reference Model
Data Protection
Engineering & DevOps
Standards
Data Processing Architectures
Batch, Interactive, Streaming/Real-time
Data Visualisation and User Interaction
1D, 2D, 3D, 4D, VR/AR
Data Analytics
Descriptive, Diagnostic, Predictive, Prescriptive
Data Management
Collection, Preparation, Curation, Linking, Access
(Existing) Infrastructure
Cloud, Communication (5G), HPC, IoT/CPS
Big Data Priority Tech Areas
Cross-cutting functions
Builds on

8. EO Interfaces

9. Sensors

10. Data Models

11. WP1 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.

12. Precision Horticulture including vine and olives
WP1 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

13. Partner technologies or solutions NeuroPublic Gaia

14. Partner technologies or solutions NeuroPublic Gaia

15. Partner technologies or solutions TerraSigna

16. Partner technologies or solutions E-GEOS

17. Partner technologies or solutions VITO

18. Partner technologies or solutions CSEM

19. Partner technologies or solutions Lesprojekt

20. Partner technologies or solutions Lesprojekt

21. Partner technologies or solutions UWB

22. Thank you for your attention Karel Charvát LESPROJEKT sluzby charvat@lesprojekt.cz