There are often agricultural product quality problems in the production and circulation of agricultural products. Therefore, there are more and more people on the agricultural product supply chain based on the Internet of things. This article mainly introduces the research on the perception data fusion of agricultural product supply chain in the context of the Internet of things. This is a simple research result based on the Internet of things technology platform, which analyzes the current status of the product according to market demand. After analysis and comparison, a sensory data fusion model suitable for the supply chain of agricultural products is obtained, and information technology based on the Internet of things is used to transform and optimize the Internet of things in the circulation of agricultural products. The experimental results of this article show that data fusion technology based on the Internet of things can solve and track 69.45% of the problem of unknown sources of agricultural products, improve the supply efficiency of agricultural products by 43%, reduce the health problems of agricultural products by 31.24%, and reduce the prices of agricultural products by 13–20%. Improving logistics efficiency can save 5 million tons of agricultural products.

在农产品的生产和流通过程中，经常出现农产品质量问题。因此，基于物联网的农产品供应链上的人越来越多。本文主要介绍了物联网背景下农产品供应链感知数据融合的研究。这是一个基于物联网技术平台的简单研究成果，根据市场需求分析产品的现状。经过分析比较，得到适合农产品供应链的感官数据融合模型，利用基于物联网的信息技术对农产品流通中的物联网进行改造和优化。本文实验结果表明，基于物联网的数据融合技术可以解决和跟踪69.45%的农产品来源不明问题，提高农产品供应效率43%，减少农产品健康问题。 31.24%，农产品价格下降13-20%。提高物流效率可节约农产品500万吨。