Embedded Monitoring Method of Greenhouse Environment based on Wireless Sensor Network

Abstract

Aiming at the problem of low accuracy of greenhouse environmental monitoring, an embedded monitoring method of greenhouse environment based on wireless sensor network is studied. The embedded microprocessor S3C2410 is selected as the control chip of greenhouse environmental monitoring. The wireless sensor network is composed of wireless detection node, sink node and remote-control terminal. The temperature and humidity sensor, CO 2 concentration sensor and light intensity sensor are set as the detection nodes of the wireless sensor network. Each detection sensor node is configured with wireless communication module to form a wireless sensor network to realize data communication of environmental monitoring. The distribution map method is selected to eliminate the missing data of greenhouse environmental monitoring data collected by wireless sensor network, and the weighted average method is used to fuse the monitoring data after eliminating the missing data to obtain the final greenhouse environmental monitoring results. The experimental results show that this method can effectively detect the environmental data such as temperature, humidity and light intensity of greenhouse, and the relative error of each data is less than 1%.

IoT Monitoring System for Fig in Greenhouse Plantation

“…Another system proposed by Liu and Wang [9] uses a LoRa system to control smart greenhouses' environmental parameters. The LoRa system has been evidenced with the advantages of operating with low power consumption, transmitting the data over long distances, and having high antiinterference ability.…”