Abstract: Relying on digital technology to empower agriculture, promoting digitalized transformation of agriculture, accelerating smart agriculture development, and promoting comprehensive and in-depth integration of digital technology and agriculture, combining with actual needs of modern agricultural development in Xi'an City, Shaanxi Province, target objectives, technical approaches, overall functions, innovative services, application scenarios, and related technical algorithm models for smart agriculture meteorological service system construction in Xi'an City, were explored．Multi-source data from meteorology, agriculture, radar, and satellite were utilized, deep learning algorithms and GIS technology were integrated, to realize real-time monitoring of crop growth, drought, high temperature, flooding, soil moisture, meteorological hazards, pests and diseases, and forecasting services for crop yield, crop maturity, crop growth suitability and pest and disease suitability, as well as early warning and assessment services for crop meteorological hazards and high-impact weather．It also realized refined climate resources and meteorological disaster risk zoning assessment．A dual-platform model combining a Web terminal and WeChat terminal was adopted to provide diversified agrometeorological services for users to meet different scenarios' needs．By building a smart agricultural meteorological service system, agricultural high-quality development in Xi'an City was supported, intelligentization, informatization, and automation level of agricultural production was enhanced．