安徽气象为农服务大数据平台设计与应用

从安徽省气象为农信息服务的个性化、精准化、智能化需求出发，采用Hadoop架构、自然语言处理、相关度分析、大数据可视化等大数据和人工智能相关技术，研发安徽省气象为农服务大数据平台。汇集安徽省多部门涉农数据资源，通过建立用户行为画像、网络服务热点的预测，开展精准化的服务产品相关性推荐服务，并跟踪评估信息服务产品的网络传播服务效果，指导后续关键农时农事建议和决策服务产品的研发与制作，同时建立气象为农服务大数据展示系统，探索实现气象为农信息服务从“人找信息”到“信息找人”的转变。该平台已在安徽气象为农业务服务中应用，提升了服务能力，具有较好的行业知名度和社会影响力。

Design and Application of Big Data Platform of Anhui Meteorological Service for Agriculture

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.