针对作物种质数据量大、多维带来的挖掘效率偏低的问题,通过探讨云计算技术及其解决方案,提出了一种基于Hadoop的农作物种质资源数据挖掘平台,详述了平台的各功能模块并给出了具体的开发方案。通过改进经典的Apriori算法并在平台上对其进行效率测试,验证了平台的有效性、可行性。 In view of the problem of large amount of crop germplasm data and low digging efficiency brought by multi-dimension, this paper proposes a data mining platform for crop germplasm resources based on Hadoop by discussing cloud computing technology and its solution, Functional modules and gives a specific development program. By improving the classical Apriori algorithm and testing its efficiency on the platform, the effectiveness and feasibility of the platform are verified.