<p>The application of Internet of Things technology is an important development opportunity for China’s agricultural economic construction. This article designs an agricultural economic data simulation platform based on genetic network algorithms, which operates in the context of the Internet of Things and aims to provide support for agricultural economic services. The platform system is divided into three main architectural levels, namely the perception layer, network layer, and application layer, which are closely connected and together form a complete information service process. The service support layer of the platform mainly includes database, service management, and application management. The database is the storage center of the platform, responsible for storing collected data, while service management and application management are responsible for managing and optimizing the platform’s services and applications. The platform utilizes technologies such as the Internet of Things and genetic network algorithms to achieve efficient collection, development, and utilization of agricultural economic information resources. At the same time, the platform can also process and analyze data to improve the quality and accuracy of the data. These data can provide strong support for the research and development of agricultural economy.</p>