Irrigation is a crucial aspect of agricultural production, directly impacting national food security and water conservation. In developing countries, where infrastructure is underdeveloped, irrigation operations are primarily carried out by third-party agricultural socialized service organizations. However, due to decentralized resource allocation, delayed information communication, and rigid service models, irrigation services suffer from inefficiencies in resource utilization, high communication time costs, and difficulties in meeting the personalized needs of farmers. To address these issues, this study proposes an intelligent irrigation system. Based on the principle of socialized resource information sharing, multiple communities with similar internal functions emerge through the self-organization of irrigation stakeholders. Subsequently, a dynamic social grouping network is formed according to irrigation demands, enabling the autonomous establishment of irrigation service groupings that facilitate field irrigation operations. Within this system, agricultural producers are not required to invest in any equipment or production materials. Instead, by simply specifying their personalized irrigation needs and coordinating with various resources and social groupings, they can efficiently complete irrigation, fertilization, and pesticide application in a single operation. This system is widely applicable to agricultural scenarios such as intensive management of small farmlands and intelligent management of large-scale farms, offering efficient services and cost-saving benefits.