The process of tea production and processing is characterized by multiple types of hazardous substances, low information utilization, and multi-source data heterogeneity. However, the traditional tea quality supervision and traceability system has several problems. For instance, tea quality control data are easily tampered with or forged; the credibility of data sources is difficult to guarantee; and the privacy of enterprises cannot be guaranteed. To enhance the management of tea quality control and improve the credibility of tea quality control information, a trusted tea quality control system architecture based on edge intelligence was designed based on blockchain and edge intelligence technologies. The system includes a data perception layer, an edge layer, a storage layer, and an application layer. It utilizes intelligent equipment and IoT technology to perform mechanized operations and automatically obtain tea quality control data. It then takes advantage of the network, computing, and storage resources of edge computing devices. A variety of artificial intelligence algorithms are deployed at the edge of the data source to detect the authenticity of the data. The Hyperledger Fabric open source framework is used as the blockchain platform to build a trusted storage service, and MySQL is used as the off-chain database. The key data are hierarchically encrypted and stored in the blockchain network and off-chain database, and the information is summarized on the chain for storage to ensure that the off-chain data cannot be tampered with and to realize the dual on-chain and off-chain trusted storage modes. Finally, a trusted tea quality control system based on edge intelligence was developed, and a combination of Internet and mobile terminals is used to provide enterprises, regulatory authorities, and consumers with services such as intelligent information acquisition, whole-process management, and trusted traceability. This proposed system can provide a real-time tea quality control information verification service for supervision departments, which helps them to carry out their work. In addition, it strikes a balance between the needs of enterprises to protect private data and the needs of consumers for open and trusted tea traceability data, which protects consumers' right to know and increases their trust in product quality.