Agricultural development interventions on household nutrition in Kenya and Uganda

Decision-based Bayesian Networks (BN) were developed to generate plausible estimates of annual food and nutrition contributions of planting fruit trees in Kenya and transitioning from homegardens to large-scale commercial agriculture in Uganda. Participatory workshops were held with a diversity of local experts and academics. Facilitators used group-work techniques to include the knowledge of all participants and collectively aim for consensus. Results of the BN models indicate that planting fruit trees in Kenya will have a positive impact on nutrition and food security. However, the model developed in Uganda shows a high probability that the nutrition status of households will be negatively affected by the planned agricultural development in Uganda’s National Development plan.
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