大数据是驱动现代农业的重要力量，农业单品全产业链大数据平台建设是我国发展农业优势产业的突破口，为适应农业单品全产业链大数据发展趋势，满足单品全产业链数据资源采集、治理、共享、体系建设、融合应用的需求，本文提出基于知识和数据融合打造知识中台服务单品全产业链大数据建设的平台，围绕单品全产业链过程，全方位整合知识和数据，建设农业单品全产业链大数据采集、汇聚、分析、服务机制，构建农业单品的全产业链知识和数据资源体系，实现对农业单品全产业链知识和数据的自动采集、动态更新、多源数据存储、数据治理，以构建农业单品全产业链大数据中心为基础，打造智能化一体的单品全产业链大数据平台，提供知识和数据资源服务、智能搜索、数据搜索、决策分析、专家服务、智能报告等功能，全面应用于单品产业全景概览、产业运行监测、产业结构与生态环境适应性研究、价格监测、产销分析，提升农业产业生产经营和管理数字化水平，促进“研—学—产”“产—供—销”全产业链创新生态建设，优化单品产业布局，保障单品产业可持续发展。

Big Data is an important resource for modern agriculture. A data platform for a given agricultural product, accessible by participants throughout the industry value chain, can be advantageous for developing China’s agricultural industries. This paper discusses the construction of an industry-wide data platform for a single agricultural product, including the demands of data resource collection, management, sharing, system construction and application integration. To address data needs across the industry chain for a single product, we will integrate knowledge and data in a comprehensive way, and build capabilities for big data collection, gathering, analysis and service. The project goal is to build a product-focused knowledge center for use across the whole industry value chain. The effort will realize the automatic collection, dynamic updating, multi-source data storage and data management of data and knowledge from all stages of the industry chain. The intelligent big data platform will include providing knowledge and data resources services, intelligent search, data search, decision analysis, expert services, intelligent reporting, and other product-focused functions. The aggregated data and knowledge resources can support industry-wide efforts, such as industrial operations monitoring, industrial structure research, ecological environment adaptability research, price monitoring, and production and marketing analysis. The effort is expected to enhance the digitization of agricultural industrial production and management, promote knowledge integration and innovation across different stages of the industry value chain (“research-learning-production” and “production-supply-marketing”), and support optimal and sustainable development across the product industry.