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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.