International Data Week 2018

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
1
This project has received funding from
the European Union’s Horizon 2020
research and innovation programme
under grant agreement No 732064
This project is part
of BDV PPP
VISUALISATION OF BIG DATA IN AGRICULTURE AND RURAL
DEVELOPMENT
Karel Charvat, Karel Jedlicka, Tomas Reznik,
Vojtech Lukas, Raitis Berzins, Raul Palma,
Dmitrij Kozuch, Karel Charvat Jr.
SciDataCon 2018: The Digital Frontiers of
Global Science
Gaborone
6th of November

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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In cooperation with

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
3
BIG DATA
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).

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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RURAL COMMUNITIES
Citizens including
young people
Farmers Foresters Fisheries
Food producersWood producers
Local Government Development
agencies, etc
Visitors, tourists
ICT companies Researchers
Advisors Developers
Analytics Economist

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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ROLE OF INTERMEDIATORS
INTERMEDIATORS
ICT COMPANIES
RESEARCHERS
ADVISORS
DEVELOPERS
ANALYTICS
ECONOMIST
ETC
Communities
• Citizens including young people
• Farmers
• Foresters
• Fisheries
• Food producers
• Wood producers
• Small and medium enterprises
• Local Government
• Development agencies, etc
• Visitors, tourists
WISDOM
KNOWLEDGE
INFORMATION
DATA

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Handle, Integrate and vizualise heterogenous data
• Utilization of FOODIE data model for integration
of heterogenous farm related vector data and
build robust system fro quiring and visualization
of heterogenous data
• Support easy search and access to EO data
stored in different repositories
• Build robust system for downloading and
processing EO data from Sentinel 2 and Landsat
• Build advisory system for farmers helping them
with preparing recommendation for nitrogen
application based on integration farm and EO
data
Extension and work o
fieldremote eye farm

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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3D visualization

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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3D visualization

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Data Integration using RDF
Linked Data as Federated Layer
• Input datasets:
• EU datasets
• Smart Points of Interest - SPOI
• Open Land Use - OLU
• Open Transport Map - OTM
• Open Czech datasets:
• LPIS data
• Water bodies
• Erosion zones
• Soil Maps
• Farm (private) datasets - Farm Rostenice:
• Field boundaries
• Crop maps
• Yield records
• Model specification:
• Reuse FOODIE ontology +
general & Czech specific extensions

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Data Integration using RDF
Linked Data as Federated Layer
• RDF data generation
• Transformation of source datasets into RDF
• Shapefiles, relational data
• Main task: mapping specification
• Data linking
• Discovery of links
• Geospatial integration via sparql queries
• Data exploitation
• HSLayers via Sparql endpoint (demo)
• Other clients (e.g., Metaphactory)

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Example Czech pilot

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Delimiting of Agro-Climatic Zones
• Elevation as a factor
influencing temperature
• Input ~ sparse lattice (with
approx. 4x4 km sampling) of
temperatures estimated on
earth‘s surface reduction to
sea level:
T0 = Ts + k * Es /100
• Densification of the 4x4 km
lattice T0 temperature to 25
x 25 m spacing lattice using
spline interpolation.
• Applying the elevation factor
to calculate temperatures
back on surface, but on
laticce with 25x25 m
spacing.
Ts = T0 - k * Es /100

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Delimiting of Agro-Climatic Zones

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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Thank you for your attention!
W www.databio.eu
W www.euxdat.eu
E charvat@lesprojekt.cz,
E info@databio.eu
agriXchange / DataBio
@DataBio_eu
DataBioProject