Welcome to Francis Academic Press

International Journal of New Developments in Engineering and Society, 2025, 9(2); doi: 10.25236/IJNDES.2025.090207.

Research on Crop Planting Strategy Problem Based on Multi Objective Dynamic Linear Programming Model

Author(s)

Wenqing Yu, Wentao Yi, Deyi Xie

Corresponding Author:
​Wenqing Yu
Affiliation(s)

College of Science, Shandong Jianzhu University, Jinan, China, 250101

Abstract

In order to achieve sustainable development of rural economy, effectively utilize limited arable land resources, and develop according to local conditions. The organic farming industry is of great significance. This article is based on the existing planting experience in a certain rural area, and establishes a mathematical model analysis to improve the production efficiency of agricultural products and reduce the negative impact of uncertain factors on planting. Establish Single-Objective Programming model, Spearman correlation analysis, Multi-objective Optimization Problem, Nonlinear Programming model. There is a significant correlation between yield per acre and crop type, plot type, and planting season, and considering the expected sales volume, yield per mu, planting cost, and sales price of various crops. The influence of factors has important strategic significance for rural revitalization and China's economic development.

Keywords

Single-Objective Programming, Spearman Correlation Analysis, Multi-Objective Optimization (MOP)

Cite This Paper

Wenqing Yu, Wentao Yi, Deyi Xie. Research on Crop Planting Strategy Problem Based on Multi Objective Dynamic Linear Programming Model. International Journal of New Developments in Engineering and Society (2025), Vol.9, Issue 2: 41-45. https://doi.org/10.25236/IJNDES.2025.090207.

References

[1] Wu L, Tian J, Liu Y, et al. Multi-Objective Crop Planting structure optimisation based on game theory[J]. Water, 2022, 14(13): 2125. 

[2] Vanderschuren H, Lentz E, Zainuddin I, et al. Proteomics of model and crop plant species: status, current limitations and strategic advances for crop improvement[J]. Journal of proteomics, 2013, 93: 5-19.

[3] Jiang P, Liu Z, Wang J, et al. Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm[J]. Resources Policy, 2021, 73: 102234.

[4] Roy P, Pal S C, Chakrabortty R, et al. RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies [J]. Geological Journal, 2023, 58(9): 3487-3514.

[5] Peng L, Tan J, Deng W, et al. Understanding the resilience of different farming strategies in coping with geo-hazards: A case study in Chongqing, China[J]. International journal of environmental research and public health, 2020, 17(4): 1226. 

[6] Shekhawat K, Almeida-Trapp M, García-Ramírez G X, et al. Beat the heat: plant-and microbe-mediated strategies for crop thermotolerance [J]. Trends in plant science, 2022, 27(8): 802-813.vzj2011.0173.

[7] Kamran M, Imran Q M, Ahmed M B, et al. Endophyte-mediated stress tolerance in plants: A sustainable strategy to enhance resilience and assist crop improvement[J]. Cells, 2022, 11(20): 3292.