Research on Optimal Crop Planting Strategy based on NSGA-II Algorithm

Abstract

The purpose of this paper is to explore the optimal planting scheme of crops to reduce planting risks and realize sustainable development of rural economy. Firstly, the actual crop yields of a rural village in the mountainous region of North China are collected and calculated to replace the expected future sales of various crops; with the maximum annual profit and the most portable management of crops as the objective function, eight constraints are set up from the perspectives of reasonableness, economy, and seasonality, and a multi-objective planning model is established. The non-dominated sorting technique of genetic algorithm NSGA-II is utilized to solve the optimal crop planting scheme for the next 7 years, and the optimal value is determined in the Pareto frontier solution. Finally, the scatter heat map is plotted to reflect the optimal planting scheme in the case of production exceeding part (production>sales) stagnation as planting one crop per year in single-season plots and alternating two crops per year in double-season plots.