Along with the further subsoiling operations, the precise detection of subsoiling quality and subsoiling area became a new problem and new demand. Existing subsoiling and landpreparation machine have no monitor devices. So the subsoiling quality and effective area were measured by hand. The process was inefficient and the result was easily affected by manmade factors. Based on the Beidou navigation system and the network information technology, a subsoiler scheme which could implement remote collecting, transmission, and monitoring information was presented. The subsoiler operation information was transmitted reliably by using mobile communication technology and internet technology. In the monitoring terminal, the Web technology and the Browser/Server network structure were used to apply the integration of bottom control network and Internet. Then the remote management system of subsoiler was established. Data communication service program used the multithreading technology and ActiveMQ message queue technology to do the highly concurrent data processing and optimize the processing capacity of database. System frontend page program used the realtime data query cache technology and Memcached memory object caching system, effectively reduced the database load and ensured the data real time requirements. System mainly included subsoiling depth detection sensor, vehicle terminal, monitor server and application service. The main functions of the system included basic data management, subsoiling machine orientation regulation, subsoiling quality regulation, subsoiling machine information maintenance, etc. The subsoiling operation quality testing equipments were installed in October 2015 in Jilin province. System ran continuously for two months. During these two months, the data transmission was accurate, stable and no packet loss. The maximum transmission delay time was just 35 s. Users can visit the web site of the system to get the realtime condition information and work area; also can carry on the statistical analysis of effective work area. The experiment results showed that the system can satisfy the actual requirement of the remote monitoring and management for subsoiler.