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Probabilistic Causal Models for Nutrition Outcomes of Agricultural Actions - Uganda model

World Agroforestry - Research Data Repository Dataverse OAI Archive

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Title Probabilistic Causal Models for Nutrition Outcomes of Agricultural Actions - Uganda model
 
Identifier https://doi.org/10.34725/DVN/6AAKJF
 
Creator Luedeling, Eike
Whitney, Cory
 
Publisher World Agroforestry - Research Data Repository
 
Description This dataset contains a Bayesian Network (BN) decision model of the expected impact of the long term development agenda of the Ugandan National Planning Authority (Vision 2040) on the nutritional status of households in Uganda. The model was developed using expert knowledge elicited through a facilitated process. The model compares the household-level nutrient supply through smallholder homegarden production vs. the industrial agricultural systems proposed in Vision 2040. It includes 29 main variables, describing the impact pathway from the decision to implement Vision 2040 to household nutrition.
 
Subject Agricultural Sciences
Bayesian Network, Holistic modeling, Nutrition, Agroforestry
 
Contributor Luedeling, Eike