Modeling and Optimization of Crop Planting Schemes under Surplus Disposal Strategies Using Simulated Annealing

Abstract

Optimized Crop Planning Model for Enhancing Agricultural Economic Benefits in a Mountainous Village of North China, to improve agricultural economic efficiency in a mountainous village in North China, this study develops an optimization model for crop planting planning from 2024 to 2030.Incorporating practical constraints including legume rotation protocols, prevention of continuous cropping, and seasonal field adaptability, the study employs a simulated annealing algorithm to solve the profit maximization problem under two distinct surplus disposal strategies(excess production with inventory loss and discounted clearance of surplus yield). Results: The discounted sales strategy generated significantly higher profits (¥62.9 million) compared to the inventory loss approach (¥22.89 million). Analysis reveals that when surplus yield remains revenue-generating, the optimization model exhibits a strong preference for high-margin crops (e.g., edible fungi), while substantially reducing cultivation area allocated to low-return crops. This study demonstrates the efficacy of simulated annealing algorithms in addressing complex, multi-constrained agricultural planning problems. The findings not only establish a viable pathway for rural sustainable development but also provide a theoretical foundation for subsequent optimization and large-scale implementation.