Abstract: In greenhouse tea plantation, temperature, humidity, light intensity, soil water content and so on are the key factors affecting the growth of tea tree and tea yield, but these environmental factors are difficult to monitor and control. Therefore, this paper proposes a low-cost and high-performance Raspberry Pi, a sensor network model composed of ZigBee technology, combined with the internet of things to measure the variable factors of greenhouse tea garden. In this system, tea farmers can use the mobile phone APP and PC side to monitor the tea plantation greenhouse environment information in real time, and adjust these factors. Experiments showed that the system has the characteristics of accurate data transmission, stable monitoring data, easy to use and simple, and has great practical significance for realizing the intelligent monitoring of greenhouse tea garden, promoting the growth of tea tree and improving the yield of tea.

Key words: greenhouse tea plantation, ZigBee, Raspberry Pi, wireless sensor networks, intelligent monitoring