International Journal of New Developments in Engineering and Society, 2025, 9(2); doi: 10.25236/IJNDES.2025.090205.
Hongyu Liu, Jiachen Hu
School of Electrical Engineering, Xinjiang University, Urumqi, China, 830017
With the continuous growth of the global population and the increasing demand for agriculture, realizing the efficient and sustainable development of agricultural production under limited land resources has become one of the major challenges for modern agricultural management. In this context, the use of quantitative methods, such as linear programming, to optimize farmland crop allocation to enhance economic returns and resource utilization efficiency has become a key research direction for modern agricultural management. Specifically, based on the linear programming model, this paper investigates the optimization problem of crop planting strategies aiming to maximize returns. The optimal planting scheme from 2024 to 2030 was determined by the linear programming model, and the annual income is about 3 million yuan, which is more stable. The model results show that the optimized planting scheme can effectively maintain and improve the annual income level under different external conditions, which provides important theoretical support and practical guidance for modern agricultural management.
Linear planning, Optimization, Economic Effects, Resource Utilization
Hongyu Liu, Jiachen Hu. Research on Crop Allocation and Revenue Analysis in Farmland Based on Linear Programming Models. International Journal of New Developments in Engineering and Society (2025), Vol. 9, Issue 2: 27-32. https://doi.org/10.25236/IJNDES.2025.090205.
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