Modelling farmers' choice of miscanthus allocation in farmland: a case-based reasoning model
Identifieur interne : 001A48 ( Main/Exploration ); précédent : 001A47; suivant : 001A49Modelling farmers' choice of miscanthus allocation in farmland: a case-based reasoning model
Auteurs : Laura Martin [France] ; Florence Le Ber [France] ; Julie Wohlfahrt [France] ; Géraldine Bocquého [France] ; Marc Benoît [France]Source :
English descriptors
Abstract
The spatial extension of perennial biomass crop, like miscanthus, seems to be unavoidable to face the decrease of fossil fuel. However, the risk of a food / non food competition due to land use change has to be anticipated. Several models of biomass crops allocation have been already performed. Most of these models simulate large-scale allocation processes, taking into account numerous biophysical variables but only few true-to-life human variables. In this paper, we present a modelling framework of miscanthus allocation in farmland. We use a case based reasoning model in order to compute both biophysical and human variables. An ad hoc similarity measures framework and the comparison of two adaptation techniques are presented. First results of one application based on a french case study are discussed. They show the necessity to take into account stakeholders' knowledge of miscanthus allocation process in the modelling.
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active="#struct-92114" type="direct"><org type="institution" xml:id="struct-92114" status="VALID"><orgName>Institut National de la Recherche Agronomique</orgName><orgName type="acronym">INRA</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inra.fr</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>artificial intelligence</term><term>decision-making support</term><term>land use</term><term>miscanthus</term><term>modelling</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The spatial extension of perennial biomass crop, like miscanthus, seems to be unavoidable to face the decrease of fossil fuel. However, the risk of a food / non food competition due to land use change has to be anticipated. Several models of biomass crops allocation have been already performed. Most of these models simulate large-scale allocation processes, taking into account numerous biophysical variables but only few true-to-life human variables. In this paper, we present a modelling framework of miscanthus allocation in farmland. We use a case based reasoning model in order to compute both biophysical and human variables. An ad hoc similarity measures framework and the comparison of two adaptation techniques are presented. First results of one application based on a french case study are discussed. They show the necessity to take into account stakeholders' knowledge of miscanthus allocation process in the modelling.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Alsace (région administrative)</li><li>Grand Est</li></region><settlement><li>Strasbourg</li></settlement><orgName><li>Université de Strasbourg</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Martin, Laura" sort="Martin, Laura" uniqKey="Martin L" first="Laura" last="Martin">Laura Martin</name></noRegion><name sortKey="Benoit, Marc" sort="Benoit, Marc" uniqKey="Benoit M" first="Marc" last="Benoît">Marc Benoît</name><name sortKey="Bocqueho, Geraldine" sort="Bocqueho, Geraldine" uniqKey="Bocqueho G" first="Géraldine" last="Bocquého">Géraldine Bocquého</name><name sortKey="Le Ber, Florence" sort="Le Ber, Florence" uniqKey="Le Ber F" first="Florence" last="Le Ber">Florence Le Ber</name><name sortKey="Wohlfahrt, Julie" sort="Wohlfahrt, Julie" uniqKey="Wohlfahrt J" first="Julie" last="Wohlfahrt">Julie Wohlfahrt</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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