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An Agent-Based Model for Agricultural Supply Chains: The Case of Uganda

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Proceedings of ECCS 2014

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Uganda is a landlocked country in East Africa with a population estimated at 35 million. 85 % of the population still lives in rural areas and survives mainly on subsistence farming by growing crops such as matooke, beans, sweet potatoes, coffee (for export), cassava, maize, millet, groundnuts, sorghum, and sesame. There are many obstacles to moving towards sustainable, market oriented crop production. In this research study, we focus on the effect of logistics costs on crop prices from the farm gate through to markets.

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Acknowledgments

We thank the World Bank for the support in the course of this study.

Author information

Authors and Affiliations

  1. Invenia Technical Computing, 135 Innovation Dr., Winnipeg, R3T 6A8, Canada

    F. Caravelli

  2. Department of Computer Science, UCL, Gower Street, London, WC1 E6BT, UK

    F. Caravelli

  3. London Institute of Mathematical Sciences, 35a South Street, London, W1K 2XF, UK

    F. Caravelli

  4. QASER Lab, UCL, Gower Street, London, WC1E 6BT, UK

    F. Medda

Authors
  1. F. Caravelli
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  2. F. Medda
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Corresponding authors

Correspondence to F. Caravelli or F. Medda .

Editor information

Editors and Affiliations

  1. RAF, University of Zürich, Zürich, Switzerland

    Stefano Battiston

  2. CREATE-NET, Trento, Italy

    Francesco De Pellegrini

  3. IMT Lucca, Lucca, Italy

    Guido Caldarelli

  4. School of Science and Technology, University of Camerino, Camerino, Italy

    Emanuela Merelli

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Caravelli, F., Medda, F. (2016). An Agent-Based Model for Agricultural Supply Chains: The Case of Uganda. In: Battiston, S., De Pellegrini, F., Caldarelli, G., Merelli, E. (eds) Proceedings of ECCS 2014. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-29228-1_20

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