Application of Modern GIS and Remote Sensing Technology Based on Big Data Analysis in Intelligent Agriculture

In order to improve the effects of agricultural monitoring and agricultural production, this paper combines big data analysis technology and GIS technology to construct an intelligent agricultural system and uses big data technology to process massive agricultural monitoring data. Moreover, this paper designs the system architecture in detail from the support layer, data layer, service layer, and application layer, and describes the technical route of the system in detail, and implements the modular management of the system in accordance with the high cohesion and low coupling thought of software modular development. In addition, through the detailed design of the system architecture and scientific system development process, this paper has realized the agricultural remote sensing monitoring system and achieved the functional requirements including system configuration, data preprocessing, growth monitoring, yield estimation, ecological environment monitoring, disaster monitoring, new rural construction, and low- and medium-yield field monitoring. Finally, this paper verifies the performance of this system through experimental research. From the test results, we can see that the system constructed in this paper has a certain effect.