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Multidimensional modelling from Open Data for Precision Agriculture

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F15%3A67652" target="_blank" >RIV/60460709:41110/15:67652 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-24626-0" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24626-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-24626-0" target="_blank" >10.1007/978-3-319-24626-0</a>

Alternative languages

  • Result language

    čeština

  • Original language name

    Multidimensional modelling from Open Data for Precision Agriculture

  • Original language description

    The multidimensional data models are most often used for decision support in Business Intelligence field. This paper presents innovative approach for support of knowledge analysis in precision agriculture, where such analytical approach offers great potential for the future. Corner stone of our approach is the creation of knowledge rules based on open data and information available from inside a particular agricultural company. In the next step such explicit knowledge is transformed into multidimensional database and an analytical model for decision support of the farm?s managers is designed. Our approach is demonstrated on example concerning knowledge analysis of one of the agricultural problems ? infestation of farm plants by aphids.

  • Czech name

    Multidimensional modelling from Open Data for Precision Agriculture

  • Czech description

    The multidimensional data models are most often used for decision support in Business Intelligence field. This paper presents innovative approach for support of knowledge analysis in precision agriculture, where such analytical approach offers great potential for the future. Corner stone of our approach is the creation of knowledge rules based on open data and information available from inside a particular agricultural company. In the next step such explicit knowledge is transformed into multidimensional database and an analytical model for decision support of the farm?s managers is designed. Our approach is demonstrated on example concerning knowledge analysis of one of the agricultural problems ? infestation of farm plants by aphids.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Enterprise and Organizational Modeling and Simulation - 11th International Workshop, EOMAS 2015, Held at CAiSE 2015

  • ISBN

    978-3-319-24625-3

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    141-152

  • Publisher name

    Springer Berlin Heidelberg

  • Place of publication

    Stockholm, Sweden

  • Event location

    Stockholm, Sweden

  • Event date

    Jun 8, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article