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

Karima Zayrit, Eric Desjardin, Cyril de Runz and Herman Akdag
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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

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2015, vol. 6, issue 3, 1-16

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:6:y:2015:i:3:p:1-16

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