With the application of big data in all walks of life, big data thinking is effectively improving the circulation efficiency of agricultural products supply chain by driving management changes in business decision-making and "farmer-supermarket docking" as an innovative mode of agricultural products circulation. Based on the current situation of China's agricultural supermarket supply chain development, this paper makes an in-depth study on the supply chain risk of agricultural products of large retail enterprises under the mode of "agricultural supermarket docking", and then introduces the agricultural supermarket docking supply chain under the big data environment. This paper uses big data to analyze the risks that may arise in the supply chain of "agricultural supermarket docking" in large retail enterprises. This paper from the aspects of production, processing, distribution, retail and consumption, introduces the new risks of agricultural supermarket supply chain after introducing big data. Secondly, Qualitative analysis and quantitative calculation are combined to conduct risk assessment. Through empirical analysis, the ranking of all risk factors is obtained, and the relevant fuzzy evaluation grade and risk evaluation criteria are given. Through expert evaluation, a new risk ranking is also obtained, which is not much different from the results of empirical analysis, and the empirical results are also verified. Therefore, develop this study is helpful to prevent the risk of agricultural supermarket supply chain connection. At the same time, the information integration, sharing and feedback of the big database provide a new idea for the optimization of the supply chain connecting agricultural production.it also has reference significance for other supply chain risk management.

随着大数据在各行各业的应用，大数据思维通过推动商业决策中的管理变革和“农超对接”作为农产品流通的创新模式，有效地提高了农产品供应链的流通效率。 。结合我国农产品超市供应链发展的现状，对“农产品超市对接”模式下大型零售企业农产品供应链风险进行了深入研究，然后介绍了农产品超市对接大数据环境下的供应链。本文使用大数据来分析大型零售企业中“农业超市对接”供应链中可能出现的风险。本文从生产，加工，分销，零售和消费等方面介绍了大数据之后农业超市供应链的新风险。其次，结合定性分析和定量计算进行风险评估。通过实证分析，得出所有危险因素的等级，并给出相关的模糊评价等级和风险评价标准。通过专家评估，还获得了新的风险等级，与经验分析的结果相差无几，并验证了经验结果。因此，开展这项研究有助于防止农业超市供应链之间的联系风险。同时，信息整合，