Research on Crop Planting Scheme in North China Based on Agricultural Production Efficiency Model

Yuntao Xu; Jingmin Zhang; Yongyu Cai

doi:10.54097/9yekcn52

Authors

Yuntao Xu
Jingmin Zhang
Yongyu Cai

DOI:

https://doi.org/10.54097/9yekcn52

Keywords:

Agricultural production efficiency model, Monte Carlo simulation, Particle swarm optimization, Inaccuracy.

Abstract

This paper addresses the key issues in agricultural economic development within the context of the rural revitalization strategy in North China, proposing an agricultural production efficiency model aimed at maximizing economic benefits through optimized planting strategies. The article reviews the shortcomings of existing research, poses three research questions, and builds a model based on these questions. By introducing Monte Carlo simulation and the Particle Swarm Optimization (PSO) algorithm, it resolves the uncertainties in agricultural production. Utilizing data preprocessing and visualization techniques, an optimal planting plan for the period from 2024 to 2030 is formulated. The research results demonstrate that the proposed model effectively copes with the uncertainties in production, providing a scientific basis for the sustainable development of agricultural economies in the mountainous areas of North China, while also offering important references and guidance for the implementation of the rural revitalization strategy in the region.

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