Modeling the benefits of fruit trees in agricultural landscapes of Kenya

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. ReferencesWhitney, C; Luedeling, E. 2018. Modeling the benefits of fruit trees in agricultural landscapes of Kenya. (Open Acess)