Using Open Data and Source to build innova6ve services in agrifood
sector
Agro-‐Know Open Data and Source Workshop,
Lamia 21 May 2015
An extraordinary company that captures, organizes and adds value to the rich informa+on available in
agricultural and biodiversity sciences, in order to make it universally accessible, useful and meaningful.
http://www.agroknow.gr
AGRIS (hOp://agris.fao.org) Agro-‐Know is hos6ng the Data Processing Unit of the tradi6onal FAO AGRIS service & is responsible for the data inges6on & filtering of the AGRIS bibliographic records
data-‐powered solu6ons: totally based on open data and source
transferring innova6on to the regional ecosystem
collabora6on with stevianet.gr data sensing experiment
citytofarm.gr plaWorm for ag-‐machinery sharing
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Key facts about agricultural trends
Agriculture is about to experience a “growth shock” in order to cover the exponenHally increasing food needs of the global populaHon
• All demographic and food demand projecHons suggest that, by 2050, the planet will face severe food crises due to our inability to meet agricultural demand – by 2050:
• 9.3 billion global populaHon, 34% higher than today • 70% of the world’s populaHon will be urban, compared to 49% today
• food produc6on (net of food used for biofuels) must increase by 70%
• According to these projec6ons, and in order to achieve the
forecasted food levels by 2050, a total investment of USD 83 billion per annum will be required
• A large part of this investment will need to be focused on R&D
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Open Data in Agriculture
One of the most promising routes to agriculture modernisaHon is the provision of Open Data to all interested parHes
• In an era of Big Data, one of the most promising routes to achieve R&D excellence in agriculture is Open Data, and in par6cular: – provisioning, – maintaining, – enriching with relevant metadata and – making openly available a vast amount of open agricultural
data • The use and wide disseminaHon of these data sets is strongly
advocated by a number of global and na6onal policy makers such as: – The New Alliance for Food Security and Nutri6on G-‐8
ini6a6ve – FAO of the UN – DEFRA & DFID in UK – USDA & USAID in the US
challenges
• not easy to organize and manage data • quality of data • data is not structured e.g. pdfs, doc • difficult to open exis6ng data following the data and metadata standards
• complex licensing schemas • missing skills and knowhow
Using open data from world bank to help development of countries: support decisions and aOract investment
Using Maximum Residue Limits published by the public agencies and organiza6ons to build a plant protec6on products informa6on service
bring closer scien6fic informa6on to agricultural prac6ce: smart agriculture case
Organic agriware app
propose soluHons based on quanHfied field data and observaHons
using open data and linked data technologies to correlate economical data with food safety data (1/2)
1. eprices.gr: prices aggregator 2. diaugeia.gr: real 6me data stream of spending decisions 3. e-‐procurement: procurement data for public sector 4. RASFF: Food Safety data 5. EU pesHcides DB: pes6cides data and MRLs
using open data and linked data technologies to correlate economical data with food safety data (2/2)
• extract data from heterogeneous sources for specific products e.g. tomatoes – expenses of public organiza6ons for buying tomatoes – price of the product in super markets – food safety issues related to the specific product – pes6cides connected to the food safety issues – price of the specific pes6cide
• analy6cs and meaningful conclusions – how the price of a product is related to food safety issues
is there a recipe?
• open data • open hardware • open business models • open methods • innova6ve ideas • work, work, work and • RIGHT VALUES