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

Author

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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.

Suggested Citation

  • Jitka Janova, 2011. "A stochastic programming model of the sowing plan with crop succession restrictions," MENDELU Working Papers in Business and Economics 2011-10, Mendel University in Brno, Faculty of Business and Economics.
  • Handle: RePEc:men:wpaper:10_2011
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    References listed on IDEAS

    as
    1. Rafael Paiva & Reinaldo Morabito, 2009. "An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company," Annals of Operations Research, Springer, vol. 169(1), pages 117-130, July.
    2. Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
    3. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    stochastic programming; crop rotation; crop plan; agriculture optimization;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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