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Session 10f, 11 May 2012 IST-Africa 2012 Copyright 2012 WirelessInfo New tools for data accessibility and decision support Zbynek Krivanek, Karel Charvat Jr., Karel Charvat Wirelessinfo, Czech Republic

Transcript of Ist africa2012 new tools for data accessibility and decision support_1

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Session 10f, 11 May 2012 IST-Africa 2012 Copyright 2012 WirelessInfo

New tools for data accessibility and decision support

Zbynek Krivanek, Karel Charvat Jr., Karel Charvat

Wirelessinfo, Czech Republic

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Session 10f, 11 May 2012 IST-Africa 2012 Copyright 2012 WirelessInfo

Current information flow

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What we need

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Poor farmer – interoperability needed

Farm management, the “rich picture” (Sörensen et al, 2010)

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What are current research focus and what are main influence

• Currently research in developed World is mainly focused on field level, eventually farm level

In practice, it could influenced farm profit in range of 30 percent

• Possibilities to use macro level or external information could influence farmers profitability in hundreds percent

For example right selection of crops etc.

• So it is evident, that focus has to be in future on work with external information

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Levels of informations

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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 production of food• So PPP is necessary

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agriXchange challenges

• To include ICT and knowledge management for agri-food and rural communities generally as a vital part 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 and innovation into everyday life of farmers, food industry and other rural communities

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agriXchange challenges

• To accelerate bottom up activities as a driver for local and regional development

• Making rural regions as an attractive place to live, invest and work, promoting knowledge and innovation for growth and creating more and better jobs

• Build new ICT model for sharing and use of knowledge in rural regions.

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ICT for Agriculture applications vision

• Collaborative environments and trusted sharing of knowledge and supporting innovations in agri-food and rural areas, especially supporting food quality and security

• ICT applications for the complete traceability of production, products and services throughout a networked value chain including logistics

• New generation of applications supporting better and more effective management of agriculture production and decision making in agriculture

• ICT applications supporting the management of natural resources

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ICT for Agriculture applications vision

• ICT applications supporting agri-food logistic – the focus has to be on the transportation and distribution of food, sharing online monitoring information from trucks during the transport of cargo, a flexible solution for on-demand dock reservation and an integrated freight and fleet management. In general, all the selected applications have the same practical benefits as cost reduction, better coordination and better information for decision making, and the proactive control of processes leading to increasing efficiency and effectiveness.

• ICT application supporting rural development and local businesses

• ICT application for education and awareness

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ICT for Agriculture Technological vision

• ICT applications reducing administrative burdens in rural areas

• Future Internet and Internet of things including sensor technology, cloud computing and machine to machine.

• Service Oriented Architecture • Methods of knowledge management • Semantic models, multilingualism, vocabularies and

automatic translation • Management and accessibility of geospatial information • Open Source development • New modelling • The power of social networks and social media

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FI WARE and COIN vision

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COIN platform

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COIN platform

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Multiple criteria mathematical programming using maxi-min principle

• In multiple criteria mathematical programming problems, there is more than one objective function. In case of our problem, individual objective function will represent profits in different scenarios.

• Solutions found by solving multiple criteria mathematical programming are called compromise solutions, because the most of the problems do not have a solution providing the best values of all objective functions at the same time.

• It the most of the methods, some additional information including weights of each criteria is required from decision maker.

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COIN project

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Where we are?

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Modeling

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