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Characterization and Combination of Agronomical Entities in Accordance with Spatial and Quantitative Imprecision

Author

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  • Karima Zayrit

    (CReSTIC, University of Reims Champagne Ardenne, Reims, France)

  • Eric Desjardin

    (CReSTIC, University of Reims Champagne Ardenne, Reims, France)

  • Cyril de Runz

    (CReSTIC, University of Reims Champagne Ardenne, Reims, France)

  • Herman Akdag

    (LIASD, University of Paris 8, Paris, France)

Abstract

One of the objectives of the authors' studies on the monitoring of agricultural practices is to deal with imperfect spatial and quantitative information, and to always associate a quality evaluation with acquired or computed data from each location in the territory being studied. In order to produce quantitative information for each location and to consider the imprecision of data, this paper introduces the notion of fuzzy agronomical entities that consider both fuzzy spatial and quantitative information. Then, it proposes a new approach for propagating spatial imprecision to fuzzy quantitative values using two fuzzy combination operators. This method produces the fuzzy quantity of spatially disseminated chemicals for each location.

Suggested Citation

  • Karima Zayrit & Eric Desjardin & Cyril de Runz & Herman Akdag, 2015. "Characterization and Combination of Agronomical Entities in Accordance with Spatial and Quantitative Imprecision," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 6(3), pages 1-16, July.
    • Handle: RePEc:igg:jaeis0:v:6:y:2015:i:3:p:1-16
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