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SC2 Pilot in Brief
Dr. Pythagoras Karampiperis (Agroknow)
“Huge volumes of data may be compelling
at first glance, but without an interpretive
structure they are meaningless”
- Tom Boellstorff, Ethnography and Virtual Worlds: A Handbook of Method
“Research is a Data-driven process”
Grapevine-powered Industry
addressing cross-sector problems
Agriculture
(Grapes)
Food
(Wine)
Health
(Cosmetics)
Data Spectrum
extremely heterogeneous (& Big)
Satellite
Distribution / Financial
Genomics
Sensor / Weather
Bibliographic data
in-field observations
Data Challenges
in the Big Data era
Volume
Velocity
Variety
Veracity
“ But, all the volumes of fast-moving data
of different variety and veracity have to be
turned into value! This is why value is the
one V of big data that matters the most ”
Why only one of the 5 Vs of big data really matters
Bernard Marr, IBM Big Data & Analytics Hub
Sector-specific Research
 turn Data into Knowledge / Value
• Ampelography
• Molecular methods
• Improved and healthy vine propagation
material
Identification of
grapevine varieties
• Impact on growth and quality
• Impact on the developmental
physiology and ecophysiology
• Adaptation of varieties and rootstocks
Viticulture and
climate change
• Phenotypic
• Genetic
• Phenolic
Full profile of
grapevine varieties
… affecting all sectors of the
Grapevine-powered data-value chain
Viticulture & Winemaking
a cross-boarder activity
Italy (Piedmont) France (Bordeaux)
China (Ningxia) Greece
… and many more
What we have achieved so far
vitis.agroknow.com
VITIS Intuitive Visualization
of information on the core 68
grape varieties cultivated in Greece
VITIS Large-scale Linguistic Pipeline
full-text mining over PDF files ingested
from AGRIS, PubMed and CORE
VITIS Atlas of Viticulture Research
relevant to VITIS grape varieties
[ extracted from indexed publications ]
VITIS Linking of Heterogeneous Data (1/2)
Ampelographic, Genetic and
Climate
VITIS Linking of Heterogeneous Data (2/2)
Sensor / Weather and
Satellite Imaging
VITIS Integrated tools for end-users (1/2)
Weather forecast and
mobile app for in-field
data collection
VITIS Integrated tools for end-users (2/2)
Ampelographic and
Genetic identification
Data access via a single
SPARQL endpoint
Technological Challenges
of a data/services/apps ecosystem
Digital
Farming
High-definition
Satellite
Monitoring
Low-energy
Soil / Plant
sensors
Smart micro-
Irrigation /
Zone Seeding
Autonomous
Robotics
Big
Data
Efficient Processing
Architectures
High-throughput
processing
Distributed
Data-mining
Predictive Analytics
& Visualization
4
THANK YOU
… and do not forget to visit VITIS at
vitis.agroknow.com

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BigDataEurope - Food & Agriculture Pilot (SC2) in Brief

  • 1. SC2 Pilot in Brief Dr. Pythagoras Karampiperis (Agroknow)
  • 2. “Huge volumes of data may be compelling at first glance, but without an interpretive structure they are meaningless” - Tom Boellstorff, Ethnography and Virtual Worlds: A Handbook of Method “Research is a Data-driven process”
  • 3. Grapevine-powered Industry addressing cross-sector problems Agriculture (Grapes) Food (Wine) Health (Cosmetics)
  • 4. Data Spectrum extremely heterogeneous (& Big) Satellite Distribution / Financial Genomics Sensor / Weather Bibliographic data in-field observations
  • 5. Data Challenges in the Big Data era Volume Velocity Variety Veracity “ But, all the volumes of fast-moving data of different variety and veracity have to be turned into value! This is why value is the one V of big data that matters the most ” Why only one of the 5 Vs of big data really matters Bernard Marr, IBM Big Data & Analytics Hub
  • 6. Sector-specific Research  turn Data into Knowledge / Value • Ampelography • Molecular methods • Improved and healthy vine propagation material Identification of grapevine varieties • Impact on growth and quality • Impact on the developmental physiology and ecophysiology • Adaptation of varieties and rootstocks Viticulture and climate change • Phenotypic • Genetic • Phenolic Full profile of grapevine varieties … affecting all sectors of the Grapevine-powered data-value chain
  • 7. Viticulture & Winemaking a cross-boarder activity Italy (Piedmont) France (Bordeaux) China (Ningxia) Greece … and many more
  • 8. What we have achieved so far vitis.agroknow.com
  • 9. VITIS Intuitive Visualization of information on the core 68 grape varieties cultivated in Greece
  • 10. VITIS Large-scale Linguistic Pipeline full-text mining over PDF files ingested from AGRIS, PubMed and CORE
  • 11. VITIS Atlas of Viticulture Research relevant to VITIS grape varieties [ extracted from indexed publications ]
  • 12. VITIS Linking of Heterogeneous Data (1/2) Ampelographic, Genetic and Climate
  • 13. VITIS Linking of Heterogeneous Data (2/2) Sensor / Weather and Satellite Imaging
  • 14. VITIS Integrated tools for end-users (1/2) Weather forecast and mobile app for in-field data collection
  • 15. VITIS Integrated tools for end-users (2/2) Ampelographic and Genetic identification Data access via a single SPARQL endpoint
  • 16. Technological Challenges of a data/services/apps ecosystem Digital Farming High-definition Satellite Monitoring Low-energy Soil / Plant sensors Smart micro- Irrigation / Zone Seeding Autonomous Robotics Big Data Efficient Processing Architectures High-throughput processing Distributed Data-mining Predictive Analytics & Visualization
  • 17. 4 THANK YOU … and do not forget to visit VITIS at vitis.agroknow.com