农业地质是地质科学与现代农业生产发展相结合的边缘学科。面向土地质量评价的农业地质调查涵盖了各种调查比例尺、不同调查对象、多种评价方法，产生各类多源、异构、多尺度和海量基础数据，文章从土地质量评价视角出发，围绕农业地质大数据应用平台的开发进行探索实践。文章采用面向服务架构和B/S网络结构，基于ArcGIS软件平台和WebService形式的OLAP技术，借助C#和JavaScript开发地理信息共享系统，采用关系型数据库系统SQL Server和Geodatabase进行数据管理，构建省级农业地质大数据平台。该平台集成了以往基础地质、农业地质、区域化探资料，挂接“地质云”(全国地质资料馆)公开馆藏资料，以地图结合图表的形式，直观、动态地展示了农业地质大数据信息。实现山东省农业地质“一张图”、大数据可视化、土壤监测预警、名特优产地环境辅助决策等典型应用。本次大数据平台针对农业地质典型应用进行了探索的研发，实现农业施肥精准化指导，对名特优产品的实现动态监测；面对不同尺度、不同时间的同源异构数据进行可视化对比、网格化比较，对地球化学指标周期性变化的观测，实现对土壤质量现状监测、对土壤环境污染预警的作用。还通过分布式数据挖掘和多维数据分析，实现了省级多目标区域化探、中大比例尺土地质量调查及农业地质相关同源异构数据的叠加分析，即对格网数据时间变化走势的展现，构建了基于地学思维的农业地质检测应用接口，为今后的科技创新提供了决策依据。

Agricultural geology is a new field of geological science serving the development strategy of modern agricultural production. The agricultural geological survey faced land quality evaluation covered various survey scales, different survey objects, and various evaluation methods, and has produced various multi-source, heterogeneous, multi-scale and massive basic data. This article, from the perspective of land quality evaluation, has explored and practiced the development of the application platform of agricultural geological big data. The article has adopted service-oriented architecture and B/S network structure, based on ArcGIS software platform and OLAP technology in the form of Web Service, has developed a geographic information sharing system with the help of C # and JavaScript, has used relational database systems SQL Server and Geodatabase for data management, and has constructed a provincial agricultural geology big data platform.The platform has integrated the previous basic geology, agricultural geology and regional geochemical exploration data, linked the "geological cloud" (National Geological Data Center) to open the collection data, and visually and dynamically displayed the agricultural geological big data information in the form of maps and charts. Realized typical applications such as "one map" of agricultural geology in Shandong Province, big data visualization, soil monitoring and early warning, and environmental aid decision-making for famous and excellent producing areas. This big data platform has carried out exploratory research and development on typical applications of agricultural geology to achieve precise guidance of agricultural fertilization and dynamic monitoring of famous, special and excellent products; Visual comparison and gridding comparison have been carried out for the homologous and heterogeneous data of different scales and different times, and the observation of the periodic changes of geochemical indicators has been carried out to realize the role of monitoring the status quo of soil quality and early warning of soil environmental pollution.Through distributed data mining and multi-dimensional data analysis, the provincial multi-target regional geochemical exploration, medium and large scale land quality survey, and the superposition analysis of homologous and heterogeneous data related to agricultural geology have also been realized, that is, the display of the time change trend of grid data, and the application interface of agricultural geological detection based on geoscience was constructed, which provides a decision-making basis for future scientific and technological innovation.