Crops in North China are the main source of economic development in North China. The low perennial temperature in North China has adverse effects on crop yield. How to fully use effective cultivated land resources to develop an organic planting industry according to local conditions, reduce planting risks brought by various uncertain factors, and maximize profits have become the focus of villagers' attention. To solve this problem, based on the theory of linear programming and mixed integer programming, a differential evolution algorithm was used to build a model of crop profit maximization and risk minimization. By establishing the profit maximization and risk minimization model, the optimal planting plan can be worked out for villagers to learn from and help villagers in North China to improve production efficiency, which has certain reference values and also has important practical significance for the sustainable development of the rural economy.

Shenghe Xu. Research on high-yield crop planting strategies in mountainous areas of North China based on a mixed integer linear programming model. Academic Journal of Agriculture & Life Sciences (2024) Vol. 5 Issue 1: 145-149. https://doi.org/10.25236/AJALS.2024.050119.

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