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eFarmer CAPrelated and Countryspecific eContent Management


Numeric: e.g. FADN-, MIS-, FAO-, CAPRI-data for benchmarking ... Sources: FAO (V4), CAPRI (HUN), FADN (HUN), CSO (HUN), MIS (HUN) Main services: ... – PowerPoint PPT presentation

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Title: eFarmer CAPrelated and Countryspecific eContent Management

eFarmer CAP-related and Country-specific
eContent Management
  • SZIE eFarmer
  • Research Group
  • Professional Contribution
  • to the Project

EFITA/WCCA Joint Conference 2005Vila Real,
Portugal, 26-28 July 2005
Project Objectives
  • Strategic objective Improving and enhancing the
    flow of information within CAP, relating to
    various aid (priorities SAPS, national top-up
    and LFA) options from state administration to
    farmers of V-4 countries.
  • Technical objective Implementing user friendly
    eCMS and form flow generator modules to support
    efficient and sustainable CAP content
  • Supplementary objectives
  • Introduction of web services to assist farmers
  • Electronic claim submission using eFarmer content
    (rules, manuals, form templates, etc.) as input
  • Establishment of pilot groups of eFarmer user
    network demonstrating eFarmer content
    communication services for farmer community.

Based on eFarmer project documentation
Business Model
Source eFarmer project documentation
Members of the project consortium
Tasks of SZIE Research Group
  • CAP- and CoAP-specific content transformation
    (emphatic parts SAPS, national top-ups and LFA)
  • Exploring, extracting and structuring the primary
    information sources in the EU and Hungary.
  • Exploring the needs of the potential users
  • Developing the additional value-added services
  • Isolating the generic and country-specific
    aspects of content management (Almost every kind
    of knowledge items/services - like
    data-visualisation based on FAO- and
    FADN-services, usergroup-specific document
    services might have both generic and
    country-specific character.)

Generic solutions
  • Classes of potential primer content (numeric
    data, text, multimedia objects)
  • Textual e.g. press monitoring for V4-related
  • Textual e.g. official documents of aid claiming
  • Numeric e.g. FADN-, MIS-, FAO-, CAPRI-data for
  • Multimedia e.g. online stored fragments of radio
    broadcasting, movie-clips of TV broadcasting
  • Appearance of this content
  • User group-specific document/data providing (a
    special kind of newsletters edited by experts)
  • Online reports (data visualisation pre-defined
    and/or self-structured)

Information value-added
In a content management project, extra utility
(information value-added) can be established
  • Saving of time the necessary documents/data can
    be found quicker through integration of relevant
  • Enhanced comprehensiveness of results all
    relevant documents/data can be found through
    systematic exploring of items.
  • Enhanced reliability of results the overall
    quality of documents is better trough checking of
    different sources.

  • Information sources (research institutes,
    professional journals etc.) The strategy
    (integrating and structuring) is acknowledged and
  • Information and Extension System Providers
  • Automated claim submission on the base of
    detailed (official) farm data for accounting for
    large-scale farms already covered, real
    assistance is needed GAEC, traceability, QA,
    cross compliance
  • Supporting accounting and planning for small
    farmers is non-existing yet (despite of general
  • Primary users (potential efarmers, farmers,
    authorities, labour organisations) The
    experiences coming from questionnaires are (will
    be) taken into account during the development

Stakeholders needs
Primary users (farmers, advisors)
  • Providing the necessary information for the
    cross-compliance, GAEC, QA, traceability and
    business planning.

IT Service Providers
  • Development of claiming system is the duty of the
    government, it should be a public service (cf.
    Federal state of Hessen)
  • Roles of extension system might be
  • Guarantee the necessary primary data for
    IACS-controls (traceability, QA, GAEC, data
    integration with GIS etc.)
  • Supporting the planning processes (estimation of
    prices and yields, technology-scenarios,
    optimisation according to subsidy, GM, income,
    cost, labour force, etc.)

Authorities, public organisations
  • Completing the extension services by competent
  • Using PPP-oriented approach.

Achievements I - eLibrary
  • Several thousands of knowledge items (documents,
    news, multimedia objects, projects, services) are
    catalogised at this time.
  • Sources MARD, PA, CSO, Online Catalogue of
    Agricultural Research Institutes, IAMO, fnsea
    news abstracts etc.
  • Numerous homogeneous knowledge groups (according
    to e.g. IACS codes, agricultural activities) are
    set up.
  • Navigation supporting tools
  • Keyword and full-text search
  • Multi-dimensional document-trees

Achievements II Online reports
  • Tens of thousands of numeric data is available
  • Sources FAO (V4), CAPRI (HUN), FADN (HUN), CSO
    (HUN), MIS (HUN)
  • Main services
  • Online report wizard (e.g. land usage)
  • Offline pivot table service (e.g. forecasting
    the stock change of pigs)
  • Online expert system (e.g. supporting part time
    farmers in taxation)
  • Offline expert system (e.g. plot selection of
    sugarbeet production)

  • In the first stage we explored the data-assets of
    the Hungarian and some of the international
    agricultural portals within the multi-dimensional
    content providing framework.
  • The existing primary information supply of
    agricultural information sources (as expected) in
    not equal to the existing/potential needs of
  • Therefore, exploring and processing of the
    primary knowledge items by experts seems to be
    necessary in the second stage of the project, the
    main points should be
  • Document (e.g. certificates, contracts, invoices)
    repository of small farmers in order to support
    their detailed accountancy.
  • GAEC-, traceability-, QA-, cross compliance-based
    (technology-, or product-specific) information
  • Developing expert systems, which are able to
    support solving typical problems in user-specific
    way (e.g. availability of certain aid schemes).
  • Education of efarmers (as information brokers)
    according to the following principles
  • learning by doing/ tele-coaching,
  • independent structuring of existing knowledge
  • independent exploring the new knowledge.

Thank you for your attention!
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