农产品全产业链管理需要大数据支撑。本文提出了一个全产业链大数据平台框架设计，包括数据指标体系、数据分析模型、模型对数据的安全和按需调用，实现了对农业单品全产业链数据的自动采集、动态更新、多源数据存储、数据治理，为产业链上相关主体提供及时的产业数据可视化分析、产业监测预警、产业智能分析报告，有效指导生产、加工、流通，促进生产和市场平稳运行，为促进产业平稳发展提供信息服务和数据支撑，也为同类农业全产业链大数据平台建设提供了经验借鉴。

Industry value chain management of agricultural products requires the support of big data. This paper describes a design for a big data platform to serve an entire agricultural industry value chain. The data platform includes a data index system, a data analysis model, the model's data security and on-demand support. The platform supports automatic acquisition, dynamic updating, multi-source data storage and data governance, and provides data visualization analysis, industry monitoring and early warning, and industry intelligence analyses and reports for relevant entities in the industry value chain. The platform effectively enables the production processing, and distribution of information and data to promote streamlined agricultural production and market operations, and thus supports the steady development of the industry. This paper also offers insight into the construction of a big data platform for an entire agricultural industry value chain.