Abstract: As an important driving force for development of modern agriculture, agricultural big data can find valuable data, mine hidden information from the massive data base, and grasp the internal connection and regular pattern between data effectively. In many sources of agricultural data, spatial data is still an important component. The theory and technology of spatial data warehouse is the key to develop agricultural big data. Spatial data warehouse is an extension of data warehouse in the space field, it can not only store, organize and manage the agricultural spatial data effectively, but also provide supporting environment for agricultural data analysis. This paper discussed and analyzed the system architecture of agricultural big data, and presented a comprehensive study and analysis from 4 areas: data collection, data integration processing, data analysis and data application, by taking the advantages of spatial data warehouse in spatial data processing and combining the theory of spatial data mining. Finally, this paper provided some suggestions and thinking according to the present status of current studies on agricultural big data in China.

Key words: agriculture big data, spatial data warehouse, spatial data mining

摘要： 农业大数据能从海量的农业数据中寻找和挖掘有价值的数据以及隐藏的信息，准确把握数据之间的内在联系和规律，是发展现代农业的重要推动力。空间性是农业数据的重要特征之一，将空间数据仓库的理论和技术运用到农业大数据中是发展农业大数据的关键。空间数据仓库是数据仓库技术在空间领域的延伸，它能有效地存储、组织和管理农业空间数据，实现农业异质数据转换、集成与调度，并为农业数据分析提供支撑环境。讨论分析了农业大数据的体系结构，并利用空间数据仓库在空间数据处理上的优势，结合空间数据挖掘的理论知识，从数据采集、数据集成处理、数据分析和数据应用4方面对农业大数据进行了全面的研究和分析，最后针对我国农业大数据的研究现状提出了一些建议和思考。

关键词: 农业大数据, 空间数据仓库, 空间数据挖掘