农业大数据是发展智慧农业、促进农业现代化发展的重要基础，需要产业链类型的“条数据”和以县域、农业园区等为载体的“块数据”有机耦合。国家现代农业产业园是农业大数据平台建设的重要园区载体之一。本文以漳平市现代农业产业园“茶·花”大数据平台建设项目为对象，通过分析该产业园的花卉、茶叶主导产业存在的问题，结合平台用户的需求分析，提出平台的功能定位、总体框架和主要应用服务功能。该平台围绕漳平现代农业产业园的茶叶和花卉主导产业，以组织化、标准化、品牌化、信息化、产业化为发展方向，面向政府部门和生产经营主体，建设应用管理平台和相应的运营服务支撑、数据库、展示与服务终端，具有数据集成、产业分析、应用服务和展示示范等功能，具体包括茶园的数字认证、生产加工标准化管理、土壤养分管理、主导产业综合管理、质量安全追溯、经营主体信用管理和决策驾驶舱等。论文同时总结、提出注重大数据资源体系构建、数据的应用和价值挖掘、留好用于未来功能拓展的数据和应用服务接口，以及人才队伍建设等实施建议。该平台的建设能够促进漳平现代农业产业园的产业基础数据的集成和产业链条的信息化管理，有利于实现打通产业发展堵点、补齐产业链短板、畅通供应链渠道等多重目标。

Agricultural big data is of great importance for developing smart agriculture and promoting agricultural modernization, which could be promoted by the combination of the industrial chain data and the area data of county level or agricultural park level. The national modern agricultural industrial park is an important carrier for the development of agricultural big data platform. Based on the construction of the Tea and Flower Industry Big Data Platform in Zhangping Modern Agricultural Industrial Park, Fujian Province, China, this paper recognized the main problems of local tea and flower industry, analyzed the demands of different users of the platform, and proposed the general framework, main functions, and applications of the platform. Centering on the leading industries (tea and flower industry) in Zhangping Modern Agricultural Industrial Park, the platform takes organization, standardization, branding, informatization and industrialization as the development direction, undertakes the functions of data integration, industrial analysis, application service and display demonstration, and builds an application management platform and corresponding operation service support, database, display and service terminals for government departments and business entities. The main applications of the platform include digital certificate of tea gardens, standardization management of planting and processing, soil nutrition management, general management of tea and flower industries, quality-and-safety traceability management, credit management of business entities, and the decision cockpit. This paper summarizes and suggests that the government should attach importance to the construction of data resource system, pay attention to data application and value mining, retain data and application service interfaces for future function expansion, and establish a big data talent team. The construction of big data platform can promote the integration of industrial basic data and the information management of industrial chain in Zhangping Modern Agricultural Industrial Park, which is conducive to breaking through the blocking points of industrial development, making up the shortcomings of industrial chain and smoothing the supply chain channels.