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Modelling farmers' choice of miscanthus allocation in farmland: a case-based reasoning model

Identifieur interne : 003325 ( Hal/Curation ); précédent : 003324; suivant : 003326

Modelling 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 :

RBID : Hal:hal-00724085

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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Hal:hal-00724085

Le document en format XML

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<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>
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<title xml:lang="en">Modelling farmers' choice of miscanthus allocation in farmland: a case-based reasoning model</title>
<author role="aut">
<persName>
<forename type="first">Laura</forename>
<surname>Martin</surname>
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<idno type="halAuthorId">753203</idno>
<affiliation ref="#struct-133440"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Florence</forename>
<surname>Le Ber</surname>
</persName>
<email>florence.leber@engees.unistra.fr</email>
<idno type="idHal">florence-le-ber</idno>
<idno type="halAuthorId">425322</idno>
<affiliation ref="#struct-85744"></affiliation>
<affiliation ref="#struct-205125"></affiliation>
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<author role="aut">
<persName>
<forename type="first">Julie</forename>
<surname>Wohlfahrt</surname>
</persName>
<idno type="halAuthorId">753204</idno>
<affiliation ref="#struct-133440"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Géraldine</forename>
<surname>Bocquého</surname>
</persName>
<idno type="halAuthorId">753205</idno>
<affiliation ref="#struct-135760"></affiliation>
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<author role="aut">
<persName>
<forename type="first">Marc</forename>
<surname>Benoît</surname>
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<idno type="halAuthorId">63159</idno>
<affiliation ref="#struct-133440"></affiliation>
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<meeting>
<title>2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Sixth Biennial Meeting</title>
<date type="start">2012-07</date>
<settlement>Leipzig</settlement>
<country key="DE">Germany</country>
</meeting>
<editor>R. Seppelt</editor>
<editor>A.A. Voinov</editor>
<editor>S. Lange</editor>
<editor>D. Bankamp</editor>
<imprint>
<publisher>International Environmental Modelling and Software Society (iEMSs)</publisher>
<biblScope unit="pp">8</biblScope>
<date type="datePub">2012-07</date>
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<language ident="en">English</language>
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<term xml:lang="en">artificial intelligence</term>
<term xml:lang="en">decision-making support</term>
<term xml:lang="en">miscanthus</term>
<term xml:lang="en">modelling</term>
<term xml:lang="en">land use</term>
</keywords>
<classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
<classCode scheme="halDomain" n="sdv.sa">Life Sciences [q-bio]/Agricultural sciences</classCode>
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<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.</abstract>
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