Education, Science, Technology, Innovation and Life
Open Access
Sign In

Optimization of Crop Planting Strategy Based on Interior Point Method

Download as PDF

DOI: 10.23977/agrfem.2024.070212 | Downloads: 3 | Views: 157

Author(s)

Zihan Liu 1, Xiaoyan Tan 1, Yinan Li 1

Affiliation(s)

1 School of Business, Xi'an International Studies University, Xi'an, 710128, China

Corresponding Author

Zihan Liu

ABSTRACT

For the problem of optimal planting strategy of crops in a village in North China for the next seven years, the expected sales volume is calculated based on the expected value method, and a linear programming model is constructed to formulate the optimal planting scheme of crops. In order to enhance the risk-resistant ability of the planting strategy, a multi-stage stochastic planning model of crop planting under uncertainty conditions is established and further programs are obtained. Finally, a multiple linear regression model is constructed, and the K-means clustering algorithm is used to investigate the correlation between the expected sales volume of each crop, the sales price, the planting cost, and the substitutability and complementarity between different crops. Compared with other literatures in recent years, this paper comprehensively uses Monte Carlo method and interior point method to enhance the universality and reasonableness of the optimal crop planting strategy, and to help the countryside to produce income and realize the sustainable economic and social development.

KEYWORDS

Interior Point Method, Multi-Stage Stochastic Programming Model, Multiple Linear Regression Model, K-Means Clustering

CITE THIS PAPER

Zihan Liu, Xiaoyan Tan, Yinan Li, Optimization of Crop Planting Strategy Based on Interior Point Method. Agricultural & Forestry Economics and Management (2024) Vol. 7: 86-97. DOI: http://dx.doi.org/10.23977/agrfem.2024.070212.

REFERENCES

[1] Wang Leiming. Research on optimization of agricultural planting structure under water resource constraints[D] . Yangling: Northwest Agriculture and Forestry University, 2017 
[2] Yanjie Chu, Siyuan Wang, Renheng Lin, Qi Wang, Wanlan Zhang. Research on optimal density and fertilization program of compact corn Nonghua 101[J]. Agricultural Science and Technology Newsletter, 2015, 46(05):103-107+223.
[3] Sun Li-Quan. Application of dynamic planning model in determining the optimal planting scheme of crops[J]. Jilin Agriculture, 2015, 22(08):84.
[4] Yang Wei, Zhou Letian, Yang Peng, et al. Research on resource allocation of EV charging station based on Multi-objective programming model [J]. Journal of Tangshan Normal University, 2024, 46(03):8-12.
[5] Zhong Lihua, Pan Feng, Yang Yuyao, et al. Research on the influence mechanism of green power trading on the behavioral decisions of carbon market players under the perspective of carbon measurement [J/OL]. Electricity Measurement and Instrumentation, 2024, 1-16. 
[6] Xuenan Zhao, Kaiyue Duan, Meng Li, et al. Multi-stage stochastic planning scheduling strategy considering the unanticipated nature of scheduling decisions [J]. Electric Power Construction, 2022, 43 (10): 87-97.
[7] Lin Lulu. Research on Marketing Strategy of Lidar Products of Company G [D]. Zhejiang Gongshang University, 2020.

Downloads: 4559
Visits: 146150

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.