Research on Multi-Scenario Planting Optimization Based on WSN Technology and Improved Genetic Algorithm

Abstract

This research focuses on the optimization of agricultural planting, aiming to enhance agricultural production efficiency and maximize planting profits. The research adopts a method of deep integration of 5G, Wireless Sensor Network (WSN), and an improved genetic algorithm. By using 5G and WSN communication technologies, environmental data of various plots, including greenhouses, arid lands, and terraced fields, are collected in real time and stably transmitted to the data processing terminal, providing comprehensive and accurate information support for planting decisions. Meanwhile, the elite retention strategy and immigration strategy are introduced to improve the traditional genetic algorithm, and the improved genetic algorithm is used to solve the optimization problem of planting strategies under multiple constraints. The results show that this method significantly increases planting profits. Under different market scenarios, the annual profit has a remarkable growth, and the centralized management profit increases the total profit by approximately 5 - 6%. The research proves that this model provides scientific and efficient decision - making support for multi - scenario planting management and effectively promotes the intelligent development of agricultural production.