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Page 1: GI2012 charvat-agri data

OPEN ACCESS TO

AGRICULTURAL DATA

Karel CHARVAT

18.05.2012

GI2012 – OpenDataPolicies

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Current information flow

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Micro level

Farm level

Macro level

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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.

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ICT for Agriculture applications

vision • ICT application supporting rural development and

local businesses

• ICT application for education and awareness

• ICT applications reducing administrative burdens in

rural areas

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ICT for Agriculture

Technological vision • 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

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ICT for Agriculture

Technological vision • Open Source development

• New modeling

• The power of social networks and social media

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FI WARE and COIN vision

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COIN OAS platform

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COIN OAS 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.

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Multiple criteria mathematical

programming using maxi-min principle • It the most of the methods, some additional

information including weights of each criteria is

required from decision maker.

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COIN OAS project

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COIN OAS project

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Modeling

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