The rapid advancement of science and technology has ushered in an era of intelligent and automated agricultural production. Concurrently, the domains of machinery and electronic engineering have evolved towards greater sophistication in intelligence and automation, driving the ever-growing demand for control technology. This interdependence between Control Engineering and Mechanical Electronic Engineering not only propels the swift progression of the latter but also opens up new vistas and pathways for development. Thus, this study delves into the implementation of an intelligent agricultural machinery integration system, with a primary focus on elucidating the application methodologies of the 3S integration framework, WebGIS, and allied technologies within the realm of intelligent agricultural machinery. At its core, this research revolves around the construction of a robust 3S technology framework, aspiring to establish an agricultural machinery service management integration platform within the WebGIS architecture. In response to the emergent paradigms in the computer domain, including the Internet of Things, cloud computing, and the B2C e-commerce model, the study explores how these concepts can be harnessed within the context of intelligent agricultural machinery and seamlessly integrated into the 3S technology framework. This strategic alignment aims to maximize the inherent strengths of these concepts and institute a series of technical framework models to expedite the development of a stable and powerful intelligent agricultural machinery integration system.