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CMFDM: A methodology to guide the design of a conceptual model of farmers' decision-making processes

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  • Robert, Marion
  • Dury, Jérôme
  • Thomas, Alban
  • Therond, Olivier
  • Sekhar, Muddu
  • Badiger, Shrini
  • Ruiz, Laurent
  • Bergez, Jacques-Eric

Abstract

The agricultural research community offers languages and approaches to model farmers' decision-making processes but does not often clearly detail the steps necessary to build an agent model underlying farmers' decision-making processes. We propose an original and readily applicable methodology for modelers to guide data acquisition and analysis, incorporate expert knowledge, and conceptualize decision-making processes in farming systems using a software engineering language to support the development of the model. We propose a step-by-step approach that combines decision-making analysis with a modeling approach inspired by cognitive sciences and software-development methods. The methodology starts with case-based analysis to study and determine the complexity of decision-making processes and provide tools to obtain a generic and conceptual model of the decisional agent in the studied farming system. A generic farm representation and decision diagrams are obtained from cross-case analysis and are modeled with Unified Modeling Language. We applied the methodology to a research question on water management in an emerging country (India). Our methodology bridges the gap between field observations and the design of the decision model. It is a useful tool to guide modelers in building decision model in farming system.

Suggested Citation

  • Robert, Marion & Dury, Jérôme & Thomas, Alban & Therond, Olivier & Sekhar, Muddu & Badiger, Shrini & Ruiz, Laurent & Bergez, Jacques-Eric, 2016. "CMFDM: A methodology to guide the design of a conceptual model of farmers' decision-making processes," Agricultural Systems, Elsevier, vol. 148(C), pages 86-94.
    • Handle: RePEc:eee:agisys:v:148:y:2016:i:c:p:86-94
    DOI: 10.1016/j.agsy.2016.07.010
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    1. James Risbey & Milind Kandlikar & Hadi Dowlatabadi & Dean Graetz, 1999. "Scale, context, and decision making in agricultural adaptation to climate variability and change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 4(2), pages 137-165, June.
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    Cited by:

    1. Robert, Marion & Thomas, Alban & Sekhar, Muddu & Badiger, Shrinivas & Ruiz, Laurent & Raynal, Hélène & Bergez, Jacques-Eric, 2017. "Adaptive and dynamic decision-making processes: A conceptual model of production systems on Indian farms," Agricultural Systems, Elsevier, vol. 157(C), pages 279-291.
    2. Jahel, C. & Augusseau, X. & Lo Seen, D., 2018. "Modelling cropping plan strategies: What decision margin for farmers in Burkina Faso?," Agricultural Systems, Elsevier, vol. 167(C), pages 17-33.
    3. Baccar, Mariem & Raynal, Hélène & Sekhar, Muddu & Bergez, Jacques-Eric & Willaume, Magali & Casel, Pierre & Giriraj, P. & Murthy, Sanjeeva & Ruiz, Laurent, 2023. "Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability," Agricultural Systems, Elsevier, vol. 211(C).
    4. Bakker, Craig & Zaitchik, Benjamin F. & Siddiqui, Sauleh & Hobbs, Benjamin F. & Broaddus, Elena & Neff, Roni A. & Haskett, Jonathan & Parker, Cindy L., 2018. "Shocks, seasonality, and disaggregation: Modelling food security through the integration of agricultural, transportation, and economic systems," Agricultural Systems, Elsevier, vol. 164(C), pages 165-184.

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