Abstract

In this paper, based on linear programming and Monte Carlo simulation, the optimal cropping scheme for crops from 2024 to 2030 in a rural village is studied and modeled. First, considering the characteristics of different cultivated land types and the growth habit of different crops, all cultivated land is divided into six categories, and a single-objective linear programming model is established to maximize the net return. Then, considering the fluctuations brought by market, climate and other factors on the expected sales volume, mu yield, planting cost and sales price, a dynamic planning model based on Monte Carlo simulation was established, while dynamic constraints were added to analyze the optimal planting scheme of crops in this countryside. Finally, the relationship between crops is introduced, and the substitutability and complementarity between crops, the correlation between the expected sales volume and sales price, and the planting cost need to be considered, and a dynamic planning model based on Monte Carlo simulation and multi-factor variables is established to optimize the allocation of limited arable land resources in the countryside and rationally plan the planting of crops.

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 call

Disclaimer: 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.