Abstract: Based on the needs of Anhui Meteorology for agricultural information services, such as personalized, precise, and intelligent, a big data platform of Anhui meteorological service for agriculture is developed using Hadoop architecture, natural language processing, correlation analysis, big data visualization and other related big data and artificial intelligence technologies. The big data platform for agricultural services brings together agricultural data resources from multiple departments in Anhui Province. Through the establishment of user behavior portraits and the prediction of network service hotspots, it provides accurate service product relevance recommendation services, and tracks and evaluates the network service effect of information service products, guides the development and production of follow-up key agricultural recommendations and decision-making service products, and at the same time establishes a big data display system of meteorological services for agriculture, explores the transformation of meteorological information services for agriculture from “people looking for information” to “information looking for people”. The platform has been applied in Anhui Meteorological services for agricultural business, which has improved service capabilities and has good industry reputation and social influence.

Key words: meteorology for agriculture services, agriculture-related big data, user behavior portraits, development and application