A Reasoning Model Based on Perennial Crop Allocation Cases and Rules

Abstract : This paper presents a prototype of case-based reasoning, built for the agricultural domain. Its aim is to forecast the allocation of a new energy crop, the miscanthus. Interviews were conducted with french farmers in order to know how they make their decisions. Based on interview analysis, a case base and a rule base have been formalized, together with similarity and adaptation knowledge. Furthermore we have introduced variations in the reasoning modules, for allowing different uses. Tests have been conducted. Results showed that the model can be used in different ways, according to the aim of the user, and e.g. the economic conditions for miscanthus allocation.
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Communication dans un congrès
Int. Conference on Case Based Reasoning, ICCBR 2017, Jun 2017, Trondheim, Norway. Springer, LNAI 10339, pp.61-75, 2017, Case-Based Reasoning Research and Development 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings
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Contributeur : Florence Le Ber <>
Soumis le : mardi 11 juillet 2017 - 12:16:19
Dernière modification le : jeudi 27 juillet 2017 - 13:03:21

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Florence Le Ber, Xavier Dolques, Laura Martin, Alain Mille, Marc Benoît. A Reasoning Model Based on Perennial Crop Allocation Cases and Rules. Int. Conference on Case Based Reasoning, ICCBR 2017, Jun 2017, Trondheim, Norway. Springer, LNAI 10339, pp.61-75, 2017, Case-Based Reasoning Research and Development 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings. <hal-01560194>

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