Data Challenge: Harmonise GI and open data from a wide variety of sources Technology Challenge:

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2 THREE KEY GOALS Data Challenge: Harmonise GI and open data from a wide variety of sources Technology Challenge: Combine GI and open data to extract new information and insights Innovation Challenge: Provide tools and skills for using GI and LBS in rapid service creation

3 ENABLING SMART CITY SERVICES BY FACILITATING THE RE-USE OF OPEN GIS DATA

4 CREATING SMART TRANSPORT SERVICES BY FACILITATING THE RE- USE OF OPEN GIS DATA

5 SOLUTIONS

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7 BENEFITS FOR THE END USERS

8 FOODIE AT A GLANCE Project title: Farm-Oriented Open Data in Europe Project acronym: FOODIE Funded under: Competitiveness and Innovation Framework Programme - The Information and Communication Technologies - Policy Support Programme Call: CIP-ICT-PSP Total budget: EUR 5,921 m EU contribution: EUR 2,960 m Duration: 01/03/2014 to 28/02/2017 Coordinator: Atos SE, Spain Website:

9 Partners This project has received funding from the European Union s Seventh Framework Programme for research, technological development and demonstration under grant agreement no

10 Very short quiz Foodie means: A person who seeks new food experiences as a hobby rather than simply eating out of convenience or hunger. A project targeted to support Farm-Oriented Open Data In Europe. Cloud-based infrastructure that is being developed to support farmers in the EU. A), B) and C) are correct! Adopted from: 34

11 FOODIE introduction The agriculture sector is of strategic importance for both European society and economy which, ideally, should create a networks of interacting organizations. Different groups of stakeholders have to manage many different and heterogeneous sources of information. A combination and management of information is needed - - in order to plan and make economically and environmentally sound decisions 35

12 Motivation The agriculture sector is a unique sector due to its strategic importance all around the world Different groups of stakeholders managing heterogeneous sources of information Base maps (topographic maps, cadaster, ortophoto, ) Aerial/satellite images LPIS data: direct payments to the farmer Field measurements Adopted from: 36

13 Pilot studies Pilot 1: Precision Viticulture (Spain) Appropriate management of the inherent variability of crops to increase in economic benefits and a reduction of environmental impact Pilot 2: Open Data for Strategic and Tactical Planning (Czech Republic) Improving future management of agricultural companies (farms), introducing new tools and management methods the cost optimization path, reduction of environmental burden, improving the energy balance while maintaining the production level Pilot 3: Technology allows integration of logistics via service providers and farm management including traceability (Germany) Integrating the German machinery cooperatives systems with existing farm management and logistic systems as well as to develop and enlarge existing 37

14 Scenarios in the Czech pilot Scenario A - Improving efficiency of transportation of large service organization support better logistics on different levels of agriculture services Scenario B - Telematics of farm machinery for evaluation of the economic efficiency of field operations and improvement of the machinery management Scenario C - Optimization of crop management by considering in-field variability for variable rate application of fertilizers. 38

15 A) Improving efficiency of transportation Offering Fertilizers Pesticides Other materials Services including application on fields Legal obligation Take back empty packs Main goal: develop a new system for transport optimization in agriculture Images adopted from:

16 Scenario B - Telematics of farm machinery Economic efficiency of machinery operations Improved management Precise records of crop management treatments Mainly fertilizers and pesticides Control of quality Pass-to-pass errors and overlaps, coverage of maintained area, recommended work speed Agro-environmental limits Nitrate Directive, Images adopted from:

17 Scenario C - Optimization of crop management Operative aerial remote sensing Whole area, high spatial resolution, low frequency Periodic satellite remote sensing Landsat 8, 30 meters per pixel, once per 14 days Meteorological monitoring Ground information, Frequency minutes Image adopted from:

18 Conclusions (1/2) Difference between other systems? Foodie platform offers a complex set of tasks telematics to/from the field fleet management reduction of environmental impacts improving the energy balance Openness and cloud computing INSPIRE, COPERNICUS and/or GODAN may be integrated as a part of the Foodie hub Respecting standards for geographic information Open Geospatial Consortium s (OGC) Web Map Service (WMS), Web Feature Service (WFS), Catalogue Service for Web (CSW), RESTful APIs Customizable and scalable 42

19 Conclusions (2/2) Similarity to other systems? Farmers usually distrust the companies aggregating (big) data 43

20 FOODIE service platform hub in cloud 44

21 EUROPEAN OPEN DATA LESSON No.1 FOR LATVIAN GOVERNMENT Latvian civil society: needs all data created by public money to be used, re-used and redistributed freely without any legal, technological or social restriction (privacy, commercial secrets!!!) must have the right to participate in economic and political processes in equal position to

22 EUROPEAN OPEN DATA LESSON No.2 FOR LATVIAN GOVERNMENT It is obvious that: neither any structural reforms, nor changes in education system can be implemented without opening all data that have been created using public money. BUT LATVIA NEEDS STRUCTURAL REFORMS!!!

23 EUROPEAN OPEN DATA LESSON No.3 FOR LATVIAN GOVERNMENT The current situation when public bodies: are selling/buying public data to/from each other are selling public data to Latvian participants in European research projects is NIGHTMARISH, and such

24 »THANK YOU!