IDEAS home Printed from https://ideas.repec.org/p/men/wpaper/10_2011.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://ftp.mendelu.cz/RePEc/men/wpaper/10_2011.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. L. Alfandari & J. Lemalade & A. Nagih & G. Plateau, 2011. "A MIP flow model for crop-rotation planning in a context of forest sustainable development," Annals of Operations Research, Springer, vol. 190(1), pages 149-164, October.
    2. Salassi, Michael E. & Deliberto, Michael A. & Guidry, Kurt M., 2013. "Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States," Agricultural Systems, Elsevier, vol. 118(C), pages 33-40.
    3. Jitka JANOVÁ, 2014. "Crop plan optimization under risk on a farm level in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(3), pages 123-132.
    4. Jitka Janová, 2012. "Crop planning optimization model: the validation and verification processes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(3), pages 451-462, September.
    5. Alysson Costa & Lana Santos & Douglas Alem & Ricardo Santos, 2014. "Sustainable vegetable crop supply problem with perishable stocks," Annals of Operations Research, Springer, vol. 219(1), pages 265-283, August.
    6. Carpentier, Alain & Gohin, Alexandre, 2015. "On the economic theory of crop rotations: value of the crop rotation effects and implications on acreage choice modeling," Working Papers 205299, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. Alfandari, Laurent & Plateau, Agnès & Scheplerc, Xavier, 2014. "A Branch-and-Price-and-Cut Approach for Sustainable Crop Rotation Planning," ESSEC Working Papers WP1408, ESSEC Research Center, ESSEC Business School.
    8. Alfandari, Laurent & Plateau, Agnès & Schepler, Xavier, 2015. "A branch-and-price-and-cut approach for sustainable crop rotation planning," European Journal of Operational Research, Elsevier, vol. 241(3), pages 872-879.
    9. Lana dos Santos & Philippe Michelon & Marcos Arenales & Ricardo Santos, 2011. "Crop rotation scheduling with adjacency constraints," Annals of Operations Research, Springer, vol. 190(1), pages 165-180, October.
    10. Laurent Alfandari & Agnès Plateau & Xavier Schepler, 2014. "A Branch-and-Price-and-Cut approach for Sustainable Crop Rotation Planning," Working Papers hal-00987708, HAL.
    11. Santos, Lana M.R. & Munari, Pedro & Costa, Alysson M. & Santos, Ricardo H.S., 2015. "A branch-price-and-cut method for the vegetable crop rotation scheduling problem with minimal plot sizes," European Journal of Operational Research, Elsevier, vol. 245(2), pages 581-590.
    12. Aurbacher, Joachim & Dabbert, Stephan, 2011. "Generating crop sequences in land-use models using maximum entropy and Markov chains," Agricultural Systems, Elsevier, vol. 104(6), pages 470-479, July.
    13. repec:hal:journl:hal-00987708 is not listed on IDEAS
    14. Marius Rădulescu & Constanta Rădulescu & Gheorghiţă Zbăganu, 2014. "A portfolio theory approach to crop planning under environmental constraints," Annals of Operations Research, Springer, vol. 219(1), pages 243-264, August.
    15. Víctor M. Albornoz & Marcelo I. Véliz & Rodrigo Ortega & Virna Ortíz-Araya, 2020. "Integrated versus hierarchical approach for zone delineation and crop planning under uncertainty," Annals of Operations Research, Springer, vol. 286(1), pages 617-634, March.
    16. dos Santos, Lana Mara R. & Costa, Alysson M. & Arenales, Marcos N. & Santos, Ricardo Henrique S., 2010. "Sustainable vegetable crop supply problem," European Journal of Operational Research, Elsevier, vol. 204(3), pages 639-647, August.
    17. Pontes, Roberto Da Silva Gervasio & Brandão, Diego Nunes & Usberti, Fábio Luiz & De Assis, Laura Silva, 2024. "Multi-objective models for crop rotation planning problems," Agricultural Systems, Elsevier, vol. 219(C).
    18. Helenice de O. Florentino & Dylan F. Jones & Chandra Ade Irawan & Djamila Ouelhadj & Banafesh Khosravi & Daniela R. Cantane, 2022. "An optimization model for combined selecting, planting and harvesting sugarcane varieties," Annals of Operations Research, Springer, vol. 314(2), pages 451-469, July.
    19. Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
    20. Martin Schönhart & Erwin Schmid & Uwe A. Schneider, 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Working Papers 452009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    21. Nuppenau, Ernst-August, 2011. "Linking Crop Rotation and Fertility Management by a Transition Matrix: Spatial and Dynamic Aspects in Programming of Ecosystem Service," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114600, European Association of Agricultural Economists.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:men:wpaper:10_2011. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luděk Kouba (email available below). General contact details of provider: https://edirc.repec.org/data/femencz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.