面向土地质量评价的省级农业地质大数据平台构建

doi:10.19788/j.issn.2096-6369.230120

Abstract

Abstract:

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.

Key words: agricultural geology, geological big data, geological information, land quality evaluation

XU Jia, KANG Guiling, YU Linsong, ZHAO Yuyan, LIU Jingbing. Construction of Provincial Agricultural Geological Survey Information System Platform for Land Quality Evaluation[J].Journal of Agricultural Big Data, 2023, 5(1): 116-125.

Figures/Tables 6

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Construction of Provincial Agricultural Geological Survey Information System Platform for Land Quality Evaluation

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