Abstract: The protocol system based on WSNs and MQTT had accurate agricultural data collection results, but it was affected by rapid expansion data, resulting in poor data management effect. Aiming at this problem, a visual smart agricultural data management system based on Spring Boot was proposed. The Spring Boot micro service was implemented from three levels of presentation layer, business logic layer and data layer. The air temperature and humidity, light intensity and soil moisture data could be transmitted by using sensors of air temperature and humidity, light intensity and soil moisture. Processing and accessing data in Spring Boot micro service mode could avoid excessive data inflation. The observation distance between the two sensors was calculated, and the environmental parameters were fused to complete the design of a smart agricultural data management system. The experimental results showed that the system could accurately collect data of air temperature, air humidity, soil moisture and light intensity. The data visualization performance was good, indicating that the use of the system had good data management effects.

Key words: Spring Boot, multi-sensor, visualization, smart agriculture, data management, system design