Research on the Optimal Planting Strategies for Rural Crops Based on 5G Communication Technology and Scenario Simulation
DOI:
https://doi.org/10.54097/pwvk1p78Keywords:
5G communication technology, wireless sensor network, rural crop planting, dynamic parameter changes, mathematical model.Abstract
This study focuses on a village in the mountainous region of North China, aiming to optimize crop planting strategies to enhance agricultural economic benefits. By comprehensively utilizing 5G communication technology, scenario simulation, and mathematical models, the research delves into the uncertainties of crop expected sales, sales prices, planting costs, and yield per unit area. A wireless sensor network is constructed to collect real-time farmland environmental data, and 5G communication technology is employed to achieve high-speed data transmission and secure storage. Based on the collected data, seven scenario systems are established, and optimization algorithms are applied to determine the optimal planting strategies for the period 2024-2030. The results indicate that stable climate scenarios, rapid economic development scenarios, and market development scenarios all contribute to increased planting profits. Among these, climate factors play a dominant role in the composition of total crop profits. This study provides theoretical support for the practical application of communication technology in agricultural data collection. It innovatively constructs a dynamic scenario parameter framework, systematically revealing the coupling impact mechanisms of climate, market, and economic factors on planting profits. The research offers scientific decision-making support for rural areas and similar regions, further advancing the theoretical depth and practical innovation of agricultural planting strategy research.
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