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Raisonner à partir de cas d'allocation dans des parcelles agricoles

Abstract : This article describes a prototype of cased-based reasoning, built for the agronomical domain. Its aim is to forecast the location of a new energy crop, the miscanthus. Interviews werre conducted with farmers in order to know how the make their decisions. Nevertheless, few experiences were available for building this model, and we therefore introduced variations in the reasoning modules, for allowing various uses. Experimental results are presented. The model and its possible uses are then discussed.
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Submitted on : Tuesday, May 26, 2020 - 12:15:04 PM
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Florence Le Ber, Xavier Dolques, Laura Martin, Alain Mille, Marc Benoit. Raisonner à partir de cas d'allocation dans des parcelles agricoles. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2017, 31 (6), pp.681-707. ⟨10.3166/ria.31.681-707⟩. ⟨hal-02624655⟩



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