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

J. Galambošová, V. Rataj, R. Prokeinová and J. Prešinská
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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

Research in Agricultural Engineering, 2014, vol. 60, issue SpecialIssue, S44-S51

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).

Keywords: Ward's method; k-means clustering; CCC; yield data; EMI (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlrae:v:60:y:2014:i:specialissue:id:34-2013-rae

DOI: 10.17221/34/2013-RAE

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