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
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Result continuities
Project
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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
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e-ISSN
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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
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