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Modeling the benefits of fruit trees in agricultural landscapes of Kenya

Domaine:

agriculture

Type de record:

model
Créateur:
Whi
Éditeur:
fig
Hôte:avatar
Evidence suggests that planting more fruit trees could benefit Kenya’s national agenda of improving livelihoods and reducing malnutrition. However, evidence-based support for specific policy decisions regarding fruit trees is lacking. Decision analysis tools can utilize available expert knowledge rather than requiring perfect data from costly long-term fieldwork and experiments. Decision analysis and Bayesian Network (BN) tools allow the incorporation of disparate data sources and uncertain inputs, to create a representation of the current understanding of cause and effect relationships within the target system.
References
Whitney, C; Luedeling, E. 2018. Modeling the benefits of fruit trees in agricultural landscapes of Kenya. (Open Acess)

Tags

70101 Agricultural Land ManagementFOS: Other agricultural sciencesFOS: Other agricultural sciences70102 Agricultural Land Planning70103 Agricultural Production Systems Simulation70501 AgroforestryFOS: Agriculture, forestry and fisheriesFOS: Agriculture, forestry and fisheries

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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