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A stochastic programming model of the sowing plan with crop succession restrictions

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  • Jitka Janova

    ()
    (Department of Statistics and Operational Research, Faculty of Business and Economics, Mendel University in Brno)

Abstract

A user-friendly decision support model for agricultural production planning in the Czech Republic is developed covering both the randomness of harvest parameters entering the decision problem and the complex crop succession requirements. The methods of stochastic programming are applied and the linear re-sowing constraints are developed, described in detail and incorporated in such a way that the model can be approached by software tools commonly available at farms. The model abilities are demonstrated in the particular case of production planning decision making in the South Moravian farm. The re-sowing constraints themselves are verified with respect to covering the local crop succession requirements and the validation of the model as a whole is performed using a Monte Carlo simulation.

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Bibliographic Info

Paper provided by Mendel University in Brno, Faculty of Business and Economics in its series MENDELU Working Papers in Business and Economics with number 2011-10.

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Length: 15
Date of creation: Jun 2011
Date of revision:
Handle: RePEc:men:wpaper:10_2011

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Keywords: stochastic programming; crop rotation; crop plan; agriculture optimization;

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  1. Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
  2. Haneveld, W. K. Klein & Stegeman, A. W., 2005. "Crop succession requirements in agricultural production planning," European Journal of Operational Research, Elsevier, vol. 166(2), pages 406-429, October.
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