SlideShare a Scribd company logo
1 of 19
Download to read offline
SEMANTIC TECHNOLOGIES IN THE INFORMATION MANAGEMENT
FOR PRECISION DAIRY FARMING: A SHOWCASE OF AGRIOPENLINK
Dana Tomic, Dr. (FTW), Wolfgang Auer (MKWE), Sandra Hoermann(JR)
Dana Tomic, PhD (FTW)
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
agriOpenLink Key Facts
 Interdisciplinary Research Project
- FTW - Research Center for ICT
- JR - Josephinum Research
- BOKU - University of Natural Sciences BOKU
- MKWE - Animal Monitoring System (SMARTBOW)
 The main theme: Information Management for Processes
Optimization in Precision Agriculture
 Funded by: Austrian Research Funding Agency (FFG)
 Use Cases: 1) Dairy Farming, 2) Irrigation
 Duration: 3 Years ( 06’2013- 05’2016)
 Budget: ~900 k Euro (80% funding)
2
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Precision Dairy Farming
 A vibrant field of innovation!
 The real-world data and information
processing enables new management
practices!
 Machines are substituting & supplementing
people not only in in milking and feeding
tasks, animal and herd monitoring but also in
making decisions !
 To make better decisions we need better
- Data and knowledge integration
- Interoperability
- Knowledge actuation
3
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
agriOpenLink Vision
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
SMARTBOW - Based on ear tags.
• Activity / resting
• Fertility
• Rumination
• etc.
- Improved nutrition and
fertility management,
animal wellbeing and
health.
80 000 per cow per day
Color codes for activities (resting, feeding, moving)
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Insights: Farmers
..
 How to quantify add-value for a PDF system?
- A single solution is not sufficient for effective advice!
 An integration concept is needed !!
6
Bewley, 2013
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Cond.
Protein
Resting
Yield
Milking
Insights: Researchers
 Researchers are early adopters of the PDF
- Testing new models
 Challenges
- How to obtain data needed to verify models for
different farm configurations and constraints
- How to translate verified models / knowledge
into operational systems for farmers
 Rutten et al, 2013, Sensors to support health
management … 126 pubs. /139 systems
- 4 Level Model of functionality
- mastitis (25%), fertility (33%), locomotion
(30%), metabolism (16%)
- No Level 3&4 systems, for level 1&2  the
detection performance, the selection of
indicators, sensor techniques, and gold
standards require further work
7
Level 1:
Measurement
Level 2:
Interpretation
Level 3: Integration
Level 4:
Automation/DS
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Insights: Vendors
 Systems tightly integrated using mostly proprietary interfaces and
data models
- high entrance barrier for Level 1&2 systems / high costs of updates
 Interface standards
- ISOagriNET ADIS/ADED (www.isoagrinet.org)
- ISO17532: Data comm. Network, ISO 11787, Data interchange syntax
(ADIS), ISO 11788 Agricultural data element dictionary (ADED)
- ASCI files - Optimized for transmission
- Do not allow for fast changes
- Isolated information island
- You can create a readable report but Is not meant to encode knowledge
or integrate data
- More and more also use Web Service standards (internally)
 Providing consulting to farmers is very important!
- Knowledge management approach may be beneficial
- Eastwood et al., 2009, Farmers as co-developers …
8
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Knowledge Management Systems
 KMS integrate:
- Domain knowledge
- Search
- Sharing of knowledge
- Turning knowledge into actions
 Embrace the Semantic Web Technology
 The Semantic Web is an extension of the current web in
which information is given well-defined meaning (formally
described knowledge), better enabling computers and
people to work in co-operation (Berners-Lee et al., 2001)
- Considerable maturity of tools and standards (Auer, 2014).
 Domains of adoption: open government solutions,
corporate information systems in eHealth, tourism, media
publishing, …
9
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Formal Description of Knowledge
 Make it possible for machines to process the
data and create new knowledge!
 Description languages (W3C Consortium)
- RDF and RDF Schemas
- Simple Knowledge Organization System (SKOS)
- Web Ontology Language (OWL)
 Ontology = explicit formal specifications of the
terms in the domain and relations among them
(Gruber, 1995)
- Classes, relationships, data properties, instances
- Primitive classes for basic hierarchy: Animal,
Organization, Location, and properties (configured or
observed parameters from different sources)
- Defined classes for classification
 Ontologies are linked with other ontologies and
are published on the Internet!
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Interoperability via Web Services
 Web Services
- Aiming to provide interoperability among distributed
loosely coupled components
- Invoked by using standard Web protocols, SOAP, HTTP,
REST
- Use machine-interpretable descriptions of services to
automate: discovery, invocation, composition and
monitoring of
- Web agents can compose simple web services into
complex web services
 Semantic Web Services
- Enriched with the semantic metadata (based on ontology)
- Use and generate structured (semantic data)
- Dynamically chained in flexible workflows based on
reasoning on data
11
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Knowledge Actuation via Semantic Web Services
12
Everything
arranged
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
agriOpenLink Platform
 Semantic Web approach is used for its
unique flexibility in knowledge
description, knowledge sharing, system
design integration and configuration
 Technology for
- Incremental inclusion of systems
- Data and knowledge sharing
- Knowledge-based collaboration
among the dairy producers, experts
and system vendors.
- Decision support & process automation
 Lowering barrier for all data
publishers
- Multi-vendor systems
- Emerging health monitoring systems
13
Plugin
Semantic
Web Services
Ontology
Queries,
Level 1:
Measurement
Level 2:
Interpretation
Level 3: Integration
Level 4:
Automation/DS
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
agriOpenLink Technical Realization
14
 Plugin Component
- Plugin Gateway
- Plugin Server (HTTP REST+RDF)
- Plugins (loadable components)
- Plugin Services (RDF)
 Query Component
- Query Editor and EngineConsultant
Farmer
Plugin
Developer
 Ontology Component
- Dairy Farming Ontology
- Repository with Ontology & Data
- DFO Editor for collaborative editing
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Knowledge Actuation via Semantic Web Services
15
Which cows had a milk yield
above average within the last
month, and had alarm
condition that requires
medical attention
To Do:
- Check the definition of alarm
condition, medical attention
- Check the milking system
- Check monitoring system
- …
Bob informed !
Lucy & Ilse will be checked
Activity data show anomaly …
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
agriOpenLink @EuroTier
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Current Work
17
 Test Installation:
- Farm Edermaier, 80 ~Cows
- St. Peter in der Au (NÖ)
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Conclusions and Outlook
 Our vision is possible to reach!
 Plugin Environment reduces the cost of
integrating new systems!
 DFO is a basis for establishing a shared
integration context for data and knowledge
integration, for recommendations and
encoding and sharing knowledge.
 Next Steps:
- Support for interested system vendors in the
design of their own plugins
- Experimenting with the DFO extension
- Experimenting with on-the-top applications
18
Cost of the integration
traditional
Cost of the integration
agriOpenLink
$
number of systems
PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015.
Contact
Dr. Slobodanka Dana Kathrin Tomic
Senior Researcher | FTW | www.ftw.at
Forschungszentrum Telekommunikation Wien GmbH
Donau-City-Straße 1/3 | A-1220 Vienna | Austria
+43/1/5052830 -54 | fax -99 | +43/6769129023

More Related Content

What's hot

LEAPS: A Semantic Web and Linked data framework for the Algal Biomass Domain
LEAPS: A Semantic Web and Linked data framework for the Algal   Biomass DomainLEAPS: A Semantic Web and Linked data framework for the Algal   Biomass Domain
LEAPS: A Semantic Web and Linked data framework for the Algal Biomass DomainMonika Solanki
 
From Biomass to Energy via Semantic Web and Linked data
From Biomass to Energy via Semantic Web and Linked dataFrom Biomass to Energy via Semantic Web and Linked data
From Biomass to Energy via Semantic Web and Linked dataMonika Solanki
 

What's hot (7)

When pharmaceutical companies publish large datasets an abundance of riches o...
When pharmaceutical companies publish large datasets an abundance of riches o...When pharmaceutical companies publish large datasets an abundance of riches o...
When pharmaceutical companies publish large datasets an abundance of riches o...
 
LEAPS: A Semantic Web and Linked data framework for the Algal Biomass Domain
LEAPS: A Semantic Web and Linked data framework for the Algal   Biomass DomainLEAPS: A Semantic Web and Linked data framework for the Algal   Biomass Domain
LEAPS: A Semantic Web and Linked data framework for the Algal Biomass Domain
 
How to place your research questions or results into the context of the "Lega...
How to place your research questions or results into the context of the "Lega...How to place your research questions or results into the context of the "Lega...
How to place your research questions or results into the context of the "Lega...
 
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
 
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox  Chemicals Dash...PFAS Chemistry: Range, Complexity, Groupings, and the CompTox  Chemicals Dash...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
 
From Biomass to Energy via Semantic Web and Linked data
From Biomass to Energy via Semantic Web and Linked dataFrom Biomass to Energy via Semantic Web and Linked data
From Biomass to Energy via Semantic Web and Linked data
 
Delivering web-based access to data and algorithms to support computational t...
Delivering web-based access to data and algorithms to support computational t...Delivering web-based access to data and algorithms to support computational t...
Delivering web-based access to data and algorithms to support computational t...
 

Similar to agriopenlink @Precision Dairy Farming 2015 (Rochester, MN)

Big Data developments in Agri-Food
Big Data developments in Agri-FoodBig Data developments in Agri-Food
Big Data developments in Agri-FoodSjaak Wolfert
 
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014Future Internet and the FIspace Platform for Agri-Food business at WCCA2014
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014Sjaak Wolfert
 
Reflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisationReflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisationNikos Manouselis
 
The Future Internet for Agri-Food Business Collaboration
The Future Internet for Agri-Food Business CollaborationThe Future Internet for Agri-Food Business Collaboration
The Future Internet for Agri-Food Business CollaborationSjaak Wolfert
 
Chinese Fujian delegation 03Mar2014
Chinese Fujian delegation 03Mar2014Chinese Fujian delegation 03Mar2014
Chinese Fujian delegation 03Mar2014Sjaak Wolfert
 
Large ICT-projects in Agri-Food in Europe
Large ICT-projects in Agri-Food in EuropeLarge ICT-projects in Agri-Food in Europe
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
 
031020 Foodtrace Paper
031020 Foodtrace Paper031020 Foodtrace Paper
031020 Foodtrace PaperElena Pricopie
 
BigDataGrapes_Wine Making Pilot
BigDataGrapes_Wine Making Pilot BigDataGrapes_Wine Making Pilot
BigDataGrapes_Wine Making Pilot Big Data Grapes
 
Augmenting health professionals and empowering patients with new technologies
Augmenting health professionals and empowering patients with new technologiesAugmenting health professionals and empowering patients with new technologies
Augmenting health professionals and empowering patients with new technologiesFacultad de Informática UCM
 
The Internet of Food and Farm
The Internet of Food and FarmThe Internet of Food and Farm
The Internet of Food and FarmSjaak Wolfert
 
Data Governance in agriculture
Data Governance in agricultureData Governance in agriculture
Data Governance in agricultureKrijn Poppe
 
Wolfert FIspace AgroConnect seminar 27may2013
Wolfert FIspace AgroConnect seminar 27may2013Wolfert FIspace AgroConnect seminar 27may2013
Wolfert FIspace AgroConnect seminar 27may2013Sjaak Wolfert
 
STM Digi Open 14092017 Digitalisaatio globaalina muutosvoimana
STM Digi Open 14092017 Digitalisaatio globaalina muutosvoimanaSTM Digi Open 14092017 Digitalisaatio globaalina muutosvoimana
STM Digi Open 14092017 Digitalisaatio globaalina muutosvoimanaSTM DigiOpen
 
eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...
eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...
eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...e-ROSA
 
A041020112
A041020112A041020112
A041020112IOSR-JEN
 
Data governance presentation at the World Bank
Data governance presentation at the World BankData governance presentation at the World Bank
Data governance presentation at the World BankKrijn Poppe
 

Similar to agriopenlink @Precision Dairy Farming 2015 (Rochester, MN) (20)

Big Data developments in Agri-Food
Big Data developments in Agri-FoodBig Data developments in Agri-Food
Big Data developments in Agri-Food
 
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014Future Internet and the FIspace Platform for Agri-Food business at WCCA2014
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014
 
Reflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisationReflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisation
 
The Future Internet for Agri-Food Business Collaboration
The Future Internet for Agri-Food Business CollaborationThe Future Internet for Agri-Food Business Collaboration
The Future Internet for Agri-Food Business Collaboration
 
Chinese Fujian delegation 03Mar2014
Chinese Fujian delegation 03Mar2014Chinese Fujian delegation 03Mar2014
Chinese Fujian delegation 03Mar2014
 
Large ICT-projects in Agri-Food in Europe
Large ICT-projects in Agri-Food in EuropeLarge ICT-projects in Agri-Food in Europe
Large ICT-projects in Agri-Food in Europe
 
031020 Foodtrace Paper
031020 Foodtrace Paper031020 Foodtrace Paper
031020 Foodtrace Paper
 
BigDataGrapes_Wine Making Pilot
BigDataGrapes_Wine Making Pilot BigDataGrapes_Wine Making Pilot
BigDataGrapes_Wine Making Pilot
 
agriopenlink - summary
agriopenlink  - summary agriopenlink  - summary
agriopenlink - summary
 
Augmenting health professionals and empowering patients with new technologies
Augmenting health professionals and empowering patients with new technologiesAugmenting health professionals and empowering patients with new technologies
Augmenting health professionals and empowering patients with new technologies
 
The Internet of Food and Farm
The Internet of Food and FarmThe Internet of Food and Farm
The Internet of Food and Farm
 
GRM 2011: The Integrated Breeding Platform tools and services
GRM 2011: The Integrated Breeding Platform tools and servicesGRM 2011: The Integrated Breeding Platform tools and services
GRM 2011: The Integrated Breeding Platform tools and services
 
2016 iHT2 San Diego Health IT Summit
2016 iHT2 San Diego Health IT Summit2016 iHT2 San Diego Health IT Summit
2016 iHT2 San Diego Health IT Summit
 
Data Governance in agriculture
Data Governance in agricultureData Governance in agriculture
Data Governance in agriculture
 
Wolfert FIspace AgroConnect seminar 27may2013
Wolfert FIspace AgroConnect seminar 27may2013Wolfert FIspace AgroConnect seminar 27may2013
Wolfert FIspace AgroConnect seminar 27may2013
 
IoT in agri-food
IoT in agri-foodIoT in agri-food
IoT in agri-food
 
STM Digi Open 14092017 Digitalisaatio globaalina muutosvoimana
STM Digi Open 14092017 Digitalisaatio globaalina muutosvoimanaSTM Digi Open 14092017 Digitalisaatio globaalina muutosvoimana
STM Digi Open 14092017 Digitalisaatio globaalina muutosvoimana
 
eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...
eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...
eROSA Stakeholder WS1: Agrisemantics – Knowledge organisation for a food secu...
 
A041020112
A041020112A041020112
A041020112
 
Data governance presentation at the World Bank
Data governance presentation at the World BankData governance presentation at the World Bank
Data governance presentation at the World Bank
 

More from Slobodanka Dana Kathrin Tomic

More from Slobodanka Dana Kathrin Tomic (8)

Agri openlink final_project_ws
Agri openlink final_project_wsAgri openlink final_project_ws
Agri openlink final_project_ws
 
smartbow DADAFI Finodex
smartbow DADAFI Finodex smartbow DADAFI Finodex
smartbow DADAFI Finodex
 
Austria Data Forum 2015
Austria Data Forum 2015Austria Data Forum 2015
Austria Data Forum 2015
 
Presentation of agriopenlink @ EFITA (main program)
Presentation of agriopenlink @ EFITA (main program)Presentation of agriopenlink @ EFITA (main program)
Presentation of agriopenlink @ EFITA (main program)
 
agriopenlink WS@EFITA 2015
agriopenlink WS@EFITA 2015agriopenlink WS@EFITA 2015
agriopenlink WS@EFITA 2015
 
Mtsr agri openlink_11_30
Mtsr agri openlink_11_30Mtsr agri openlink_11_30
Mtsr agri openlink_11_30
 
OpenFridge @ Auftaktveranstaltung, IKT der Zukunft 2013
OpenFridge @ Auftaktveranstaltung, IKT der Zukunft 2013OpenFridge @ Auftaktveranstaltung, IKT der Zukunft 2013
OpenFridge @ Auftaktveranstaltung, IKT der Zukunft 2013
 
Presentation of the project OpenFridge in the Workshop on Big Data and Societ...
Presentation of the project OpenFridge in the Workshop on Big Data and Societ...Presentation of the project OpenFridge in the Workshop on Big Data and Societ...
Presentation of the project OpenFridge in the Workshop on Big Data and Societ...
 

Recently uploaded

Food Supplement Directive No. 333-2020.pdf
Food Supplement Directive No. 333-2020.pdfFood Supplement Directive No. 333-2020.pdf
Food Supplement Directive No. 333-2020.pdfMohamed Miyir
 
Empowering Communities: Food Donation NGO Making a Difference
Empowering Communities: Food Donation NGO Making a DifferenceEmpowering Communities: Food Donation NGO Making a Difference
Empowering Communities: Food Donation NGO Making a DifferenceLovely Foundation
 
Reclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdf
Reclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdfReclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdf
Reclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdfStephen Gleave
 
Explore The flavors Of Indian cuisine In Budapest : Indian Palate
Explore The flavors Of Indian cuisine In Budapest : Indian PalateExplore The flavors Of Indian cuisine In Budapest : Indian Palate
Explore The flavors Of Indian cuisine In Budapest : Indian PalateIndian Palate
 
HOTMEN TAJUR BOGOR JAWA BARAT INDONESIAA
HOTMEN TAJUR BOGOR JAWA BARAT INDONESIAAHOTMEN TAJUR BOGOR JAWA BARAT INDONESIAA
HOTMEN TAJUR BOGOR JAWA BARAT INDONESIAAPermataAnnisa3
 
Beet Kvass The Probiotic-Rich, Fermented Tonic from Eastern Europe
Beet Kvass The Probiotic-Rich, Fermented Tonic from Eastern EuropeBeet Kvass The Probiotic-Rich, Fermented Tonic from Eastern Europe
Beet Kvass The Probiotic-Rich, Fermented Tonic from Eastern EuropeGarden Goddess, LLC
 

Recently uploaded (6)

Food Supplement Directive No. 333-2020.pdf
Food Supplement Directive No. 333-2020.pdfFood Supplement Directive No. 333-2020.pdf
Food Supplement Directive No. 333-2020.pdf
 
Empowering Communities: Food Donation NGO Making a Difference
Empowering Communities: Food Donation NGO Making a DifferenceEmpowering Communities: Food Donation NGO Making a Difference
Empowering Communities: Food Donation NGO Making a Difference
 
Reclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdf
Reclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdfReclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdf
Reclaiming Pure Traditions Plants Enrichen Our Farms and Food.pdf
 
Explore The flavors Of Indian cuisine In Budapest : Indian Palate
Explore The flavors Of Indian cuisine In Budapest : Indian PalateExplore The flavors Of Indian cuisine In Budapest : Indian Palate
Explore The flavors Of Indian cuisine In Budapest : Indian Palate
 
HOTMEN TAJUR BOGOR JAWA BARAT INDONESIAA
HOTMEN TAJUR BOGOR JAWA BARAT INDONESIAAHOTMEN TAJUR BOGOR JAWA BARAT INDONESIAA
HOTMEN TAJUR BOGOR JAWA BARAT INDONESIAA
 
Beet Kvass The Probiotic-Rich, Fermented Tonic from Eastern Europe
Beet Kvass The Probiotic-Rich, Fermented Tonic from Eastern EuropeBeet Kvass The Probiotic-Rich, Fermented Tonic from Eastern Europe
Beet Kvass The Probiotic-Rich, Fermented Tonic from Eastern Europe
 

agriopenlink @Precision Dairy Farming 2015 (Rochester, MN)

  • 1. SEMANTIC TECHNOLOGIES IN THE INFORMATION MANAGEMENT FOR PRECISION DAIRY FARMING: A SHOWCASE OF AGRIOPENLINK Dana Tomic, Dr. (FTW), Wolfgang Auer (MKWE), Sandra Hoermann(JR) Dana Tomic, PhD (FTW)
  • 2. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. agriOpenLink Key Facts  Interdisciplinary Research Project - FTW - Research Center for ICT - JR - Josephinum Research - BOKU - University of Natural Sciences BOKU - MKWE - Animal Monitoring System (SMARTBOW)  The main theme: Information Management for Processes Optimization in Precision Agriculture  Funded by: Austrian Research Funding Agency (FFG)  Use Cases: 1) Dairy Farming, 2) Irrigation  Duration: 3 Years ( 06’2013- 05’2016)  Budget: ~900 k Euro (80% funding) 2
  • 3. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Precision Dairy Farming  A vibrant field of innovation!  The real-world data and information processing enables new management practices!  Machines are substituting & supplementing people not only in in milking and feeding tasks, animal and herd monitoring but also in making decisions !  To make better decisions we need better - Data and knowledge integration - Interoperability - Knowledge actuation 3
  • 4. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. agriOpenLink Vision
  • 5. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. SMARTBOW - Based on ear tags. • Activity / resting • Fertility • Rumination • etc. - Improved nutrition and fertility management, animal wellbeing and health. 80 000 per cow per day Color codes for activities (resting, feeding, moving)
  • 6. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Insights: Farmers ..  How to quantify add-value for a PDF system? - A single solution is not sufficient for effective advice!  An integration concept is needed !! 6 Bewley, 2013
  • 7. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Cond. Protein Resting Yield Milking Insights: Researchers  Researchers are early adopters of the PDF - Testing new models  Challenges - How to obtain data needed to verify models for different farm configurations and constraints - How to translate verified models / knowledge into operational systems for farmers  Rutten et al, 2013, Sensors to support health management … 126 pubs. /139 systems - 4 Level Model of functionality - mastitis (25%), fertility (33%), locomotion (30%), metabolism (16%) - No Level 3&4 systems, for level 1&2  the detection performance, the selection of indicators, sensor techniques, and gold standards require further work 7 Level 1: Measurement Level 2: Interpretation Level 3: Integration Level 4: Automation/DS
  • 8. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Insights: Vendors  Systems tightly integrated using mostly proprietary interfaces and data models - high entrance barrier for Level 1&2 systems / high costs of updates  Interface standards - ISOagriNET ADIS/ADED (www.isoagrinet.org) - ISO17532: Data comm. Network, ISO 11787, Data interchange syntax (ADIS), ISO 11788 Agricultural data element dictionary (ADED) - ASCI files - Optimized for transmission - Do not allow for fast changes - Isolated information island - You can create a readable report but Is not meant to encode knowledge or integrate data - More and more also use Web Service standards (internally)  Providing consulting to farmers is very important! - Knowledge management approach may be beneficial - Eastwood et al., 2009, Farmers as co-developers … 8
  • 9. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Knowledge Management Systems  KMS integrate: - Domain knowledge - Search - Sharing of knowledge - Turning knowledge into actions  Embrace the Semantic Web Technology  The Semantic Web is an extension of the current web in which information is given well-defined meaning (formally described knowledge), better enabling computers and people to work in co-operation (Berners-Lee et al., 2001) - Considerable maturity of tools and standards (Auer, 2014).  Domains of adoption: open government solutions, corporate information systems in eHealth, tourism, media publishing, … 9
  • 10. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Formal Description of Knowledge  Make it possible for machines to process the data and create new knowledge!  Description languages (W3C Consortium) - RDF and RDF Schemas - Simple Knowledge Organization System (SKOS) - Web Ontology Language (OWL)  Ontology = explicit formal specifications of the terms in the domain and relations among them (Gruber, 1995) - Classes, relationships, data properties, instances - Primitive classes for basic hierarchy: Animal, Organization, Location, and properties (configured or observed parameters from different sources) - Defined classes for classification  Ontologies are linked with other ontologies and are published on the Internet!
  • 11. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Interoperability via Web Services  Web Services - Aiming to provide interoperability among distributed loosely coupled components - Invoked by using standard Web protocols, SOAP, HTTP, REST - Use machine-interpretable descriptions of services to automate: discovery, invocation, composition and monitoring of - Web agents can compose simple web services into complex web services  Semantic Web Services - Enriched with the semantic metadata (based on ontology) - Use and generate structured (semantic data) - Dynamically chained in flexible workflows based on reasoning on data 11
  • 12. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Knowledge Actuation via Semantic Web Services 12 Everything arranged
  • 13. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. agriOpenLink Platform  Semantic Web approach is used for its unique flexibility in knowledge description, knowledge sharing, system design integration and configuration  Technology for - Incremental inclusion of systems - Data and knowledge sharing - Knowledge-based collaboration among the dairy producers, experts and system vendors. - Decision support & process automation  Lowering barrier for all data publishers - Multi-vendor systems - Emerging health monitoring systems 13 Plugin Semantic Web Services Ontology Queries, Level 1: Measurement Level 2: Interpretation Level 3: Integration Level 4: Automation/DS
  • 14. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. agriOpenLink Technical Realization 14  Plugin Component - Plugin Gateway - Plugin Server (HTTP REST+RDF) - Plugins (loadable components) - Plugin Services (RDF)  Query Component - Query Editor and EngineConsultant Farmer Plugin Developer  Ontology Component - Dairy Farming Ontology - Repository with Ontology & Data - DFO Editor for collaborative editing
  • 15. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Knowledge Actuation via Semantic Web Services 15 Which cows had a milk yield above average within the last month, and had alarm condition that requires medical attention To Do: - Check the definition of alarm condition, medical attention - Check the milking system - Check monitoring system - … Bob informed ! Lucy & Ilse will be checked Activity data show anomaly …
  • 16. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. agriOpenLink @EuroTier
  • 17. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Current Work 17  Test Installation: - Farm Edermaier, 80 ~Cows - St. Peter in der Au (NÖ)
  • 18. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Conclusions and Outlook  Our vision is possible to reach!  Plugin Environment reduces the cost of integrating new systems!  DFO is a basis for establishing a shared integration context for data and knowledge integration, for recommendations and encoding and sharing knowledge.  Next Steps: - Support for interested system vendors in the design of their own plugins - Experimenting with the DFO extension - Experimenting with on-the-top applications 18 Cost of the integration traditional Cost of the integration agriOpenLink $ number of systems
  • 19. PRECISION DAIRY FARMING, Mayo Center, ROCHESTER, MIN, 24-24 June 2015. Contact Dr. Slobodanka Dana Kathrin Tomic Senior Researcher | FTW | www.ftw.at Forschungszentrum Telekommunikation Wien GmbH Donau-City-Straße 1/3 | A-1220 Vienna | Austria +43/1/5052830 -54 | fax -99 | +43/6769129023