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Master Thesis

DEXi AF : outil d’aide à la conception et à l’évaluation multicritère de systèmes agroforestiers performants. Analyse critique et amélioration d’un outil préexistant pour les systèmes agroforestiers grandes cultures / bois d’œuvre

Abstract : Facing the negative consequences of intensive and modern agriculture, new alternative cropping systems are being developed. Among them, agroforestry (AF). Despite a renewed interest, AF remains poorly developed because it is considered on the medium-long term (15-80 years) and is only based on incomplete knowledge. To increase the success probability of agroforestry systems (AFS) and the farmer’s support, the performances of such systems shall be assessed ex ante. Yet, no model gathers all current agroforestry knowledge and is compatible with AF.
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https://dumas.ccsd.cnrs.fr/dumas-01706975
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Aurélie Augis. DEXi AF : outil d’aide à la conception et à l’évaluation multicritère de systèmes agroforestiers performants. Analyse critique et amélioration d’un outil préexistant pour les systèmes agroforestiers grandes cultures / bois d’œuvre. Sciences agricoles. 2017. ⟨dumas-01706975⟩

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