Design of Greenhouse Wireless Sensor Network Control System Based on Fuzzy Neural Network

Abstract

This paper proposed a greenhouse control system utilizing wireless sensor network (WSN) to overcome the wiring difficulties and poor mobility in the application of traditional cable-used control systems. Each wireless sensor node in the WSN collects the environmental data of temperature, humidity and CO2 concentration, and transmits the data to the control center via the sink nodes. A fuzzy neural network with three inputs and six outputs was designed to improve the control accuracy. By analyzing the relationship between the mentioned environmental factors above and the actuators of the system, a fuzzy rule was made and combined with the neural network. The simulation results showed that the proposed method could respond in a short time with high accuracy, and had small overshoot as well as good stability.

Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development

“…WSN can be used to monitor CO 2 concentration [165]. Zhang et al [166] carried out a greenhouse control system using a WSN to collect data on temperature, humidity and CO 2 concentration. They related the internal environmental factors and the actuators of the system for the implementation of a fuzzy rule and combined with a neural network.…”