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Modéliser l'insertion territoriale du Miscanthus x giganteus à partir des décisions des agriculteurs : une approche exploitant le modèle du raisonnement à partir de cas

Abstract : Miscanthus x giganteus is the perennial crop, newly produced in Europe. Even if miscanthus is not so heavily produced nowadays, this crop would be of great interest for energy use. However, the allocation of miscanthus could produce a sustainable reorganization of the landscape. Therefore, many studies aim to model the land use change caused by miscanthus, in order to identify sustainable supply areas: our research belongs to this field. In our research, we propose a new framework for modeling decision-making process of farmers, relying on scaling out. More accurately, we propose to use the case-based reasoning model which solves problems based on an analogical reasoning. Then our research is structured: (i) by a knowledge acquisition step about decision-making process of farmers, based on farm surveys, conducted in the Côte d'Or department (Burgundy region) and (ii) by the design and evaluation of an ad hoc prototype of case-based reasoning. On the one hand, results of knowledge acquisition phase show that miscanthus allocation process is complex, more accurately, that miscanthus allocation process is closely related to land constraints, particularly in terms of logistic and environmental preservation of plots. These results lead us to discuss the selection of biophysical and human variables included to the current spatially explicit models. On the other hand, the design and evaluation phase of our prototype shows that case-based reasoning is particularly well suited to model a contextual phenomenon. These results lead us to discuss the modalities for implementing the prototype in other production areas of miscanthus
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Laura Martin. Modéliser l'insertion territoriale du Miscanthus x giganteus à partir des décisions des agriculteurs : une approche exploitant le modèle du raisonnement à partir de cas. Sciences agricoles. Université de Lorraine, 2014. Français. ⟨NNT : 2014LORR0225⟩. ⟨tel-01751209⟩

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