农产品进口多元化是我国保障粮食安全的重要战略之一。新冠疫情之下，农产品冷链物流面临着新的挑战，也迎来了新一轮快速发展的契机。如何在港区构建起对农产品安全监管的首道防线，确保进港货物安全可靠显得尤为重要。近年来，我国持续加强了进口农产品监管追溯体系建设，但整体系统建设仍存在薄弱环节，缺乏联动性。本平台针对新冠疫情下港区农产品冷链物流信息关联性、可溯性弱等问题，依托基于低功耗射频识别技术结合无线传感网络采集进口农产品冷链物流环节温湿度等微环境关键实时数据，联合生产、流通、经营、监管等多方主体共筑进口农产品检验检疫证明、核酸检测报告、消毒证明等基本信息数据池，融合新一代物联网、互联网、大数据、云计算、区块链等核心技术，构建标准数据流和数据库，借助先进算法从海量数据中识别影响农产品质量安全的关键环节和要素，建立进口农产品风险管控和预警、追溯模型，进而探索打造港区综合性监管平台，实现关键数据清洗、数据整合、数据分析、数据共享，为政府监管、分析决策、应急响应、公众查询提供有力支撑，提高进口农产品冷链物流的源头追踪能力，织密进口农产品冷链物流“物防”“人防”网络，促进完善港区农产品冷链物流监管体系。

Diversification of agricultural imports is an important strategy for ensuring food security in China. During the COVID-19 pandemic, agricultural cold chain logistics are facing new challenges but also a new round of rapid development opportunities. It’s particularly critical to determine how to build the first line of defense in port areas for the supervision of agricultural products to ensure the safety and reliability of incoming cargo. In recent years, China has continued to strengthen the construction of its regulatory traceability system for imported agricultural products, but there are still weak links and a lack of connectivity in the overall construction of the system. In this paper, we propose a supervision platform that addresses the problems of weak correlation and traceability of the cold chain logistics information on agricultural products in port areas during the COVID-19 pandemic. Relying on low-power-based radio frequency identification technology, the platform is combined with wireless sensor networks to collect key real-time data on the microenvironment, including temperature and humidity, influencing the cold chain logistics links of imported agricultural products. The platform unites multiple entities, including production, distribution, operation, and supervision entities, to build a pool of basic information data, such as inspection and quarantine certificates, nucleic acid test reports, and disinfection certificates for imported agricultural products. It integrates the core technologies of the new generation, the Internet of Things, the Internet, big data, cloud computing, and block chain, and builds a standard data flow and database to identify the key links and elements affecting the quality and safety of agricultural products from a large amount of data with the help of advanced algorithms. We establish risk controls and early warnings for imported agricultural products, build a traceability model, and then explore the creation of a comprehensive supervision platform in the port area, undertaking key data cleaning, integration, analysis, and sharing. The platform provides powerful support for government supervision, analysis, and decision-making, including emergency responses and public inquiries, combines “physical defense” and “human defense” in the cold chain logistics network for imported agricultural products, and promotes the improvement of the supervisory system for cold chain logistics of agricultural products in port areas.