Abstract
The solutions of methodological problems arising in connection with the managerial decisions adoption on the arable land use at the level of agricultural organization management are proposed. In place of the existing economic-mathematical toolkit used for this purpose, a nonlinear specification of the stochastic two-stage ED-model of optimal use of arable land is proposed, in which yield is a variable depending on the properties of the plot, fertilizer application, the use of seeds of higher reproduction. The source data of the model are organized so that it can be solved at any moment in the season in order to dispose the released area or to resow the field occupied by the unprofitable culture due to changes in market conditions, as well as in the event of damage or loss of crops.
Highlights
The feasibility of applying mathematical programming for the purposes of planting planning was written about in the middle of the last century [1; 2], but from to this day in the peer-reviewed issues there were almost no reports of restructuring field management systems on the basis of this method
Among the models of positive mathematical programming (PMP models) describing the distribution of arable land between field cultures, we will highlight the one presented in the article [5]
The aim of that study is to assess the impacts of climate change on land use in the prairie pothole region of Western Canada, and to find ways to preserve the region's water resources
Summary
The feasibility of applying mathematical programming for the purposes of planting planning was written about in the middle of the last century [1; 2], but from to this day in the peer-reviewed issues there were almost no reports of restructuring field management systems on the basis of this method. In the few available works on this topic, not normative (managerial), but positive (explanatory) models are presented. The latter require specific methodological approaches that differ in the preparation of the baseline data (involving calibration procedures) and the architecture of the models [4] themselves. Among the models of positive mathematical programming (PMP models) describing the distribution of arable land between field cultures, we will highlight the one presented in the article [5]. The aim of that study is to assess the impacts of climate change on land use in the prairie pothole region of Western Canada, and to find ways to preserve the region's water resources
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
