A stochastic programming model of the sowing plan with crop succession restrictions
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.
|Date of creation:||Jun 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://vyzc.pef.mendelu.cz/en
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luděk Kouba)
If references are entirely missing, you can add them using this form.