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Master Thesis

Développement d’une méthode d’analyse multicritère pour le choix variétal en betterave sucrière

Abstract : The varieties choice represents a major issue for sugar beet farmers because their income depends on it. The fast turnover of the commercialized varieties on the market makes this choice difficult. In order to help the farmers, the sugar beet institute (ITB) hopes to develop a varieties choice personalized tool. This choice takes the conventional evaluation criteria and the studied plots specificities into consideration. The aim is to propose a list of varieties that guarantees an optimal productivity under agro-pedo-climatic conditions of every farm. My mission was to define a multicriteria analysis method combining every evaluation criteria available then to propose an optimal solution of varieties; the restrained method enables to take quantitative and qualitative criteria into consideration. Two multicriteria analysis methods have been combined: (i) the DEXi method that permit to evaluate the leaves diseases risk according to agronomic practices and (ii) the Electre III method that gives a list of varieties derived from the combination of the evaluation criteria. Electre III needs a weighting stage. An additional analysis over those weights has, afterwards, permitted to determine the most sensitive criteria. The developed method has been tested upon different practical cases representing some specificities of the French sugar beet areas. We manage to emphasis the interest of such a method that proposes an optimal choice without highlighting the most performing varieties only on one criterion. The method does not take the economic aspect into account; some economic performance index has then been calculated for the yield and the soil tare.
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Submitted on : Wednesday, November 23, 2016 - 11:31:14 AM
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  • HAL Id : dumas-01401370, version 1



Caroline Bassono. Développement d’une méthode d’analyse multicritère pour le choix variétal en betterave sucrière. Sciences du Vivant [q-bio]. 2016. ⟨dumas-01401370⟩



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