当前我国农业生产模式从传统向智慧农业转型，针对各农业组织自身数据规模不断扩大，数据共享出现“数据孤岛”难以大规模汇聚农业数据指导精准农事决策等问题，本研究基于云链融合和分布式农业场景下数据安全治理相关技术解决所述问题，并探索其实际应用效果。在分布式农业场景下，以IPFS、区块链和云计算为基础，设计可部署在智能合约的农业大数据治理算法，构建多方农业数据汇聚模型以及完整、安全、可追溯的数据保护模型和典型场景应用模型。以新疆昌吉华兴农场及其附属农业组织农业生产为例，进一步构建云链融合农业大数据平台。对比本文所设计的基于云链融合的农业大数据治理模型和两种传统模型的性能，实验表明，本模型综合性能相比于传统模型更优。

The current agricultural production model in China is transitioning from traditional to smart agriculture. In response to the continuous expansion of data scale in various agricultural organizations and the problem of "Data Silos" in data sharing, it is difficult to gather agricultural data on a large scale to guide precise agricultural decision-making. This study is based on Cloud-Blockchain Integration and data security governance related technologies in distributed agriculture scenarios to solve the above-mentioned problems and explore their practical application effects. In a distributed agricultural scenario, based on IPFS, blockchain, and cloud computing, design an agricultural big data governance algorithm that can be deployed on smart contracts, construct a multi-party agricultural data aggregation model, as well as a complete, secure, traceable data protection model and typical scenario application model. Taking the agricultural production of Huaxing Farm and its affiliated agricultural organizations in Changji, Xinjiang as an example, further build a Cloud-Blockchain Integration agricultural big data platform. By comparing the performance of the agricultural big data governance model based on Cloud-Blockchain Integration with two traditional models, the experiment shows that the comprehensive performance of the model in this article can achieve a better balance and achieved better performance compared to the traditional models.