Year: 2025
Type: article
Abstract: This study focuses on the planning of rural planting strategies in the mountainous regions of North China from 2024 to 2030, with the core objective of addressing market dynamics, enhancing the economic benefits of agricultural output, and promoting the sustainable development of rural economies. The research employs data preprocessing and visualization techniques to abstract practical issues into a 0-1 linear programming model, aiming for profit maximization as the optimization goal while incorporating multiple constraints to refine planting strategies. Ultimately, this study utilizes the Monte Carlo simulation method for randomized crop selection, visualizes yield data in relation to the planting area of each farmland, and integrates the results into tabular formats. Furthermore, the study provides practical insights and optimization strategies based on empirical analysis.
DOI: 10.54097/tz3xqs55
Author: Xiaotong Jiang
Institution: Beijing University of Chinese Medicine
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4415216927
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