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International Conference on Computational Science and Its Applications

ICCSA 2008: Computational Science and Its Applications – ICCSA 2008 pp 475–490Cite as

Evaluation of Agricultural Land Suitability: Application of Fuzzy Indicators

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5072))

Abstract

The problem of evaluation of agricultural land suitability is considered as a fuzzy modeling task. For assessment of land suitability, it is proposed to use fuzzy indicators. Application of individual fuzzy indicators gives opportunity for assessment of suitability of lands as degree or grade of performance when the lands are used for agricultural purposes. Using composite fuzzy indicator it is possible to obtain weighted average estimation of land suitability. This theoretical technique is illustrated with a simple example.

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Author information

Authors and Affiliations

  1. Agrophysical Research Institute, Grazhdansky pr. 14, 195220, St. Petersburg, Russia

    Dmitry Kurtener

  2. USDA-ARS National Soil Dynamics Laboratory, 411 South Donahue Drive, Auburn, Alabama, 36832, USA

    H. Allen Torbert

  3. Independent researcher, 11706 Perry St., Westminster, CO 80031, USA

    Elena Krueger

Authors
  1. Dmitry Kurtener
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  2. H. Allen Torbert
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  3. Elena Krueger
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Editor information

Osvaldo Gervasi Beniamino Murgante Antonio Laganà David Taniar Youngsong Mun Marina L. Gavrilova

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Kurtener, D., Torbert, H.A., Krueger, E. (2008). Evaluation of Agricultural Land Suitability: Application of Fuzzy Indicators. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69839-5_35

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  • DOI: https://doi.org/10.1007/978-3-540-69839-5_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69838-8

  • Online ISBN: 978-3-540-69839-5

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