GI2012 charvat-agri data

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12. Sächsisches GIS-ForumDresden: 18./19.05.2012GI2012-OpenDataPolicies-FORUM

Transcript of GI2012 charvat-agri data

  • 1. GI2012 OpenDataPoliciesOPEN ACCESS TOAGRICULTURAL DATAKarel CHARVAT18.05.2012

2. Current information flow Macro levelFarm levelMicro levelGI2012 OpenDataPolicies 18.05.2012 3. What we needGI2012 OpenDataPolicies 18.05.2012 4. Poor farmer interoperability neededFarm management, the rich picture (Srensen et al, 2010) GI2012 OpenDataPolicies 18.05.2012 5. What are current research focus and what are main influence Currently research in developed World is mainlyfocused on field level, eventually farm level In practice, it could influenced farm profitin range of 30 percent Possibilities to use macro level or externalinformation could influence farmers profitability inhundreds percent For example right selection of crops etc. So it is evident, that focus has to be in future onwork with external informationGI2012 OpenDataPolicies 18.05.2012 6. Levels of informations GI2012 OpenDataPolicies 18.05.2012 7. Open Access to Information Will support decision farming processes Will help increase profitability of farm Will help with environment protection Will help to government better influence productionof food So PPP is necessary GI2012 OpenDataPolicies 18.05.2012 8. agriXchange challenges To include ICT and knowledge management foragri-food and rural communities generally as a vitalpart of the ICT policies and initiatives To find a balance between food safety and security,energy production and environment production Support better transfer of RTD results andinnovation into everyday life of farmers, foodindustry and other rural communities GI2012 OpenDataPolicies 18.05.2012 9. agriXchange challenges To accelerate bottom up activities as a driver forlocal and regional development Making rural regions as an attractive place to live,invest and work, promoting knowledge andinnovation for growth and creating more and betterjobs Build new ICT model for sharing and use ofknowledge in rural regions. GI2012 OpenDataPolicies 18.05.2012 10. ICT for Agriculture applications vision Collaborative environments and trusted sharing ofknowledge and supporting innovations in agri-foodand rural areas, especially supporting food qualityand security ICT applications for the complete traceability ofproduction, products and services throughout anetworked value chain including logistics New generation of applications supporting betterand more effective management of agricultureproduction and decision making in agriculture ICT applications supporting the management ofnatural resources GI2012 OpenDataPolicies 18.05.2012 11. ICT for Agriculture applicationsvision ICT applications supporting agri-food logistic thefocus has to be on the transportation anddistribution of food, sharing online monitoringinformation from trucks during the transport ofcargo, a flexible solution for on-demand dockreservation and an integrated freight and fleetmanagement. In general, all the selectedapplications have the same practical benefits ascost reduction, better coordination and betterinformation for decision making, and the proactivecontrol of processes leading to increasingefficiency and effectiveness.GI2012 OpenDataPolicies 18.05.2012 12. ICT for Agriculture applicationsvision ICT application supporting rural development andlocal businesses ICT application for education and awareness ICT applications reducing administrative burdens inrural areas GI2012 OpenDataPolicies 18.05.2012 13. ICT for Agriculture Technological vision Future Internet and Internet of things includingsensor technology, cloud computing and machineto machine. Service Oriented Architecture Methods of knowledge management Semantic models, multilingualism, vocabulariesand automatic translation Management and accessibility of geospatialinformation GI2012 OpenDataPolicies 18.05.2012 14. ICT for Agriculture Technological vision Open Source development New modeling The power of social networks and social mediaGI2012 OpenDataPolicies 18.05.2012 15. FI WARE and COIN vision GI2012 OpenDataPolicies 18.05.2012 16. COIN OAS platformGI2012 OpenDataPolicies 18.05.2012 17. COIN OAS platformGI2012 OpenDataPolicies 18.05.2012 18. Multiple criteria mathematicalprogramming using maxi-min principle In multiple criteria mathematical programmingproblems, there is more than one objectivefunction. In case of our problem, individualobjective function will represent profits in differentscenarios. Solutions found by solving multiple criteriamathematical programming are called compromisesolutions, because the most of the problems do nothave a solution providing the best values of allobjective functions at the same time.GI2012 OpenDataPolicies 18.05.2012 19. Multiple criteria mathematical programming using maxi-min principle It the most of the methods, some additionalinformation including weights of each criteria isrequired from decision maker.GI2012 OpenDataPolicies 18.05.2012 20. COIN OAS projectGI2012 OpenDataPolicies 18.05.2012 21. COIN OAS projectGI2012 OpenDataPolicies 18.05.2012 22. ModelingGI2012 OpenDataPolicies 18.05.2012 23. Follow us OpenDataPolicies 18.05.2012