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Determining the management zones with hierarchic and non-hierarchic clustering methods

Author

Listed:
  • J. Galambošová

    (Department of Machines and Production Systems, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)

  • V. Rataj

    (Department of Machines and Production Systems, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)

  • R. Prokeinová

    (Department of Statistics and Operation Research, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)

  • J. Prešinská

    (Department of Machines and Production Systems, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)

Abstract

Delineation of the management zones of a field is commonly used in precision agriculture technology. There are many techniques used to identify management zones. The most used technique is k-means clustering, where the number of clusters is managed by the user. The paper deals with clustering the yield data and electromagnetic data of a 17 ha field using the Ward's method followed by the k-means clustering method. The cubic clustering criterion was used to determine the number of clusters. Based on results, it can be concluded that it is beneficial to combine the k-means clustering method with the hierarchic method (Ward's method).

Suggested Citation

  • J. Galambošová & V. Rataj & R. Prokeinová & J. Prešinská, 2014. "Determining the management zones with hierarchic and non-hierarchic clustering methods," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 60(SpecialIs), pages 44-51.
    • Handle: RePEc:caa:jnlrae:v:60:y:2014:i:specialissue:id:34-2013-rae
    DOI: 10.17221/34/2013-RAE
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