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Multidimensional Modelling from Open Data for Precision Agriculture

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 231))

Abstract

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.

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Acknowledgments

The results and knowledge included herein have been obtained owing to support from the IGA of the Faculty of Economics and Management, Czech University of Life Sciences in Prague, grant No. 20141040, “New methods for support of managers in agriculture”.

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Correspondence to Jan Tyrychtr .

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Tyrychtr, J., Brožek, J., Vostrovský, V. (2015). Multidimensional Modelling from Open Data for Precision Agriculture. In: Barjis, J., Pergl, R., Babkin, E. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2015. Lecture Notes in Business Information Processing, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-24626-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-24626-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24625-3

  • Online ISBN: 978-3-319-24626-0

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