Research on Optimal Crop Planting Strategy Based on Linear Programming with Sample Average Approximation

Authors

  • Shi Chen
  • Kengtai Peng

DOI:

https://doi.org/10.54097/ta5vm064

Keywords:

Linear Programming, Cluster Analysis, Sample Average Approximation, Correlation Analysis.

Abstract

Using linear programming, sample average approximation and other methods, this paper mainly focuses on the optimization of crop planting strategies in China, and conducts in-depth research to formulate the optimal planting scheme for the period from 2024 to 2030. Firstly, we preprocesses data on rural plot types and crop characteristics, and proposes the optimal crop planting scheme based on linear programming by considering crop sales, planting costs, mu yield, etc. Subsequently, this paper introduces uncertainties such as fluctuations in market demand and climate change, and constructs a dynamic planning model of planting scheme through the Sample Average Approximation (SAA) method. Finally, combined with the correlation analysis between crops, this paper proposes a comprehensive optimization model of planting scheme based on Spearman correlation, which effectively improves the overall return and ensures the robustness of the scheme.

Downloads

Download data is not yet available.

References

[1] Wang Xiaoming, Zhang San. Research on ecological optimization of crop cultivation [J]. Agricultural Science, 2019(5): 45-50.

[2] Zhou Xue, Zhao Yongman, Wang Xiangyang. Research on the equipping of agricultural machinery of 105 regiment based on mathematical planning method[J]. Xinjiang Agricultural Mechanization,2018,(01):36-39.

[3] Li Hua. Research on agricultural optimization model based on dynamic planning [D]. Peking University, 2021.

[4] Yang Yijiang,Yang Yiwen. Dynamic planning model and its application in determining the best planting scheme for crops[J]. Guangdong Chemical Industry,2013,40(14):70-71.

[5] Xu Weichao. A review of correlation coefficient research [J]. Journal of Guangdong University of Technology,2012,(3): 12-17.

[6] Zhang Zhengjia, Chi Liang, Yang Haicheng, et al. Analysis of spatial and temporal changes in crop cropping structure in the Yellow Huaihai region[J/OL]. China Agricultural Resources and Zoning,1-10.

Downloads

Published

29-11-2024

Issue

Section

Articles

How to Cite

Chen, S., & Peng, K. (2024). Research on Optimal Crop Planting Strategy Based on Linear Programming with Sample Average Approximation. Academic Journal of Science and Technology, 13(2), 113-117. https://doi.org/10.54097/ta5vm064