Download - Organic-AgriWare: An Agro-Know stem powered application for the Organic Agriculture community
Organic-AgriWare: An application for the Organic Agriculture community
Agro-Know at a glance and our role in the project
Nikos Marianos, Giannis Stoitsis Agro-Know
An extraordinary company that captures, organizes and adds value to the rich information
available in agricultural and biodiversity sciences, in order to make it universally accessible, useful
and meaningful.
http://www.agroknow.gr
We build unique solutions that help people and organizations
address challenging societal and environmental challenges. We
help people discover the value in the data.
✔We create and cultivate an ecosystem of innovative, data-powered businesses, scientists, educators and citizens.
✔We deliver data-powered consulting services and customisable product offerings to all agricultural & biodiversity stakeholders, using modular, interoperable, technology solutions, as well as, high quality data sources.
✔We embrace and aggregate all data sources, formats & types relevant to the agricultural & biodiversity sciences.
How do we succeed?
Indicative partners & clients
• Food and Agriculture Organization (FAO)• Global Forum on Agricultural Research (GFAR)• International Fund for Agricultural Developmen
(IFAD)• World Bank Group• UK’s Dept for International Development (DFID)• Michigan State University (MSU)• Wageningen University & Research (WUR)• French Institute of Agricultural Research (INRA)
Leading data interoperability work
• RDA, Research Data Alliance: Agricultural Data Interoperability
Interest Group (IG) & Wheat Data Interoperability Working Group
• ARIADNE Foundation: Creating a standards-based technology
infrastructure that allows the publication and management of digital
learning resources in an open and scalable way
• Agricultural Information Management Standards (AIMS): Initiative of
the Food & Agricultural Organization of the UN (FAO), supports
standardsfor open access and open data in the agricultural domain.
• Global Learning Object Brokered Exchange (GLOBE): A one-stop-
shop for learning resource broker organizations, each of them managing
and/or federating one or more learning object repositories.
AK is an active contributor in European and international standardization initiatives in relation to the agricultural data representation and storage, including:
Member of strategic “open” networks
• GFSP, Global Food Safety Partnership: Database Subgroup,
Knowledge & Learning Systems Group
• CIARD: a global movement dedicated to open agricultural
knowledge
• GODAN: Global Open Data for Agriculture and Nutrition:
making agricultural and nutritionally relevant data available,
accessible, and usable for unrestricted use worldwide
• Bouchout
Declaration for Open Biodiversity Knowledge Management
: making digital data about our biodiversity openly available
Partner in >15 EU projects since 2008 • agINFRA: a data infrastructure to support agricultural scientific
communities (2011 - 2015)– EU, $5.2M, 12 partners (incl. FAO); tech coordinator, evaluation,
sustainability– in G8 Open Data in Agriculture Action Plan for Europe
• Organic.Lingua: Demonstrating the potential of multilingual Web Portal for Sustainable Agricultural & Environmental Education (2011-2014)
– EU, $2.4M, 11 partners (incl. INRA); tech+data coordinator, evaluation
• SemaGrow: Data intensive techniques to boost the real-time performance of global agricultural data infrastructures (2012 - today)
– EU, $3.1M, 8 partners (incl. FAO, WUR); tech coordinator, evaluation, sustainability
– in G8 Open Data in Agriculture Action Plan for Europe
Access the complete list of our projects.
Widgets
Authoring services
Data Discovery Services
Analytics services
Data Aggregation
Ingestion Enrichment Publication
Harvesting BlossomCultivation
Organized and structured Content in local and remote DBs
Research data
Bibliographic
Other
Filtering
Aggregates data from diverse sources
Works with different type
of data
Prepares data for
meaningful services
Unorganized Content in local and remote DBs
Research data
Bibliographic
Other
Combining the power of experts with state of the art technologies
The Agro-Know Data Framework (1/3)
The Agro-Know Data Framework (2/3)
Taking advantage of big data technologies, data modeling standards and open APIs,
the AK Data Framework is an open and scalable system that aggregates heterogenous
data from various data sources and includes tools that may be used for the storage,
organisation, curation, enrichment, analysis, exposure and discovery of data.
AK Data Framework is being used to:
support FAO AGRIS bibliographic network
build the Organic.Edunet online service
build the Green Learning Network (GLN) data pool
build the Events data pool
The Agro-Know Data Framework (3/3)
Using our Data Framework we can help your organization in:
implementing an open data policy
improving the quality of your data
making your data interoperable
collecting and interlinking relevant data from external sources
setting up meaningful data powered services for your end users such as search
engines
Data Framework as a service:
A SaaS model is supported in case you would like to get such solution as a service and
to avoid the hosting and maintenance burden.
The Consortium
www.agroknow.gr
Collaborators
http://www.digigrow.com
http://www.icrofs.org www.vfl.dk
Agricultural Problem Addressed
• Organic farmers need practical information for short and long term
planning for their farms
• Advisors need scientific information to help them
• Scientific research data/ publications and other useful information is
dispersed at different online and off-line locations/media
• Difficult to
– access the already acquired knowledge by the scientific
community
– collect the necessary context-related information and put it into
the context of their challenges.
The Organic-AgriWare Solution
• Online service that will provide advisors and farmers with context-
based access to organic community knowledge
– Powered by Agro-Know Stem (www.akstem.com)
• Tailor made interface to Organic Eprints (www.orgprints.org), an
international open access archive for papers and projects in organic
food & farming hosted by ICROFS (www.icrofs.org).
• Combine the archive’s information with other useful resources for
the user, such as location-related information, open data in
economics, weather data, on-the-field organic real time data, etc
• Pilot trials with the community of the Danish Agricultural Advisory
Service (DAAS, www.vfl.dk)
Our goal
• to develop an open knowledge hub for the community of
organic agriculture research
• to enable the developments of apps that will help the
community to share knowledge
• to enhance Οrganic eprints by integrated features that solve
real problems of the community
• to develop one app that will bring the scientific knowledge
closer to the work of farmers and advisors
What is a knowledge hub
• aggregate information from relevant
source
– manual index
– harvesting
• share and discovery of several data
types
– people, organizations, projects
and events
– biblio
– scientific data (primary and
secondary)
– images and videos
– research protocols
• use of a taxonomy
– as a backbone for knowledge
sharing
– aligned with reference ontology
i.e. AGROVOC
• open APIs to allow re-use of
information
– development of widgets
– development of apps (web and
mobile)
stem powered knowledge hub for organic agriculture
Build Organic eprints powered microsites at associations’ site
Powered by
stem powered knowledge hubs for organic agriculture
Power associations’ sites with Organic eprints content
Use of FIWARE (1/2)
• location aware services
– use the Geoserver of FIWARE to have a map based
browsing of people, organizations and content (validate if
content browsing per country and specific location is
important)
• complex event processing
– only if complex data fusion and processing will be
validated as a problem e.g. data collected on the field
combined with weather data to extract a conclusion
about the yield
• use FIWARE Labs for testing
Use of FISPACE (2/2)
• Connect to FISPACE
– publish Organic AgriWare app info
– get info for B2B arrangements
• weather data
– use the data from a DigiGrow set up
– weather forecast (based on the model that we will
develop in collaboration with DigiGrow)
– use of complex event processing