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Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability


  • McCown, R.L.
  • Carberry, P.S.
  • Dalgliesh, N.P.
  • Foale, M.A.
  • Hochman, Z.


The FARMSCAPE Information System emerged in a long-running research program aimed at making simulation models useful to Australian farmers in managing climatic variability. This paper is about how well it has worked. This is reported in relation to two standards: (1) the value to thinking and action expressed by farmers and their consultants, (2) correspondence with theory about learning and judgement in uncertain external environments. The former utilises recorded narrative interviews with participants over many years. The latter uses a cognitive framework drawn from theory of judgment and decision making featuring the relationship between intuition and analysis (McCown, 2011).

Suggested Citation

  • McCown, R.L. & Carberry, P.S. & Dalgliesh, N.P. & Foale, M.A. & Hochman, Z., 2012. "Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability," Agricultural Systems, Elsevier, vol. 106(1), pages 33-45.
  • Handle: RePEc:eee:agisys:v:106:y:2012:i:1:p:33-45
    DOI: 10.1016/j.agsy.2011.10.005

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    References listed on IDEAS

    1. Bénédicte Vidaillet & V. D'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    2. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    3. Anderson, Jock R., 1974. "Risk Efficiency in the Interpretation of Agricultural Production Research," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(03), September.
    4. Carberry, P. S. & Hochman, Z. & McCown, R. L. & Dalgliesh, N. P. & Foale, M. A. & Poulton, P. L. & Hargreaves, J. N. G. & Hargreaves, D. M. G. & Cawthray, S. & Hillcoat, N. & Robertson, M. J., 2002. "The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation," Agricultural Systems, Elsevier, vol. 74(1), pages 141-177, October.
    5. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    6. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    7. Hayman, P. T. & Easdown, W. J., 2002. "An ecology of a DSS: reflections on managing wheat crops in the northeastern Australian grains region with WHEATMAN," Agricultural Systems, Elsevier, vol. 74(1), pages 57-77, October.
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    Cited by:

    1. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, Gade & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Don & Singh, Kamalesh K. & Roth, Christian H., 2017. "Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate," Agricultural Systems, Elsevier, vol. 150(C), pages 54-66.


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