Controlling of Microclimatic Parameters of a Greenhouse by using Fuzzy Logic and Wireless Sensor Networks
Advancements in wireless technology motivated the monitoring of environment at a lesser cost compared to methods of environmental control that were previously used. This paper derives from an in-depth study of a WSN (Wireless Sensor Networks) system that was designed to control climatic parameters of a greenhouse using fuzzy logic inference. The proposed WSN system consists of three stations which are the sensor Station, coordinator station, and central station. To better control the climate condition in the greenhouse, the fuzzy logic inference was utilized with wireless networks and appropriate sensors. The experiments were carried out with the purpose of determining the functionality and reliability of the designed wireless sensor network using ZigBee wireless technology. This paper summarizes the study in which the design of a system was done using wireless XBee radio modules as a solution to control climatic parameters of temperature, humidity, carbon monoxide, soil moisture and illumination by the use of fuzzy logic control theory.
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Controlling of Microclimatic Parameters of a Greenhouse by using Fuzzy Logic and Wireless Sensor Networks
Semantic Scholar · Environmental Science · 2019
Abstract
Advancements in wireless technology motivated the monitoring of environment at a lesser cost compared to methods of environmental control that were previously used. This paper derives from an in-depth study of a WSN (Wireless Sensor Networks) system that was designed to control climatic parameters of a greenhouse using fuzzy logic inference. The proposed WSN system consists of three stations which are the sensor Station, coordinator station, and central station. To better control the climate condition in the greenhouse, the fuzzy logic inference was utilized with wireless networks and appropriate sensors. The experiments were carried out with the purpose of determining the functionality and reliability of the designed wireless sensor network using ZigBee wireless technology. This paper summarizes the study in which the design of a system was done using wireless XBee radio modules as a solution to control climatic parameters of temperature, humidity, carbon monoxide, soil moisture and illumination by the use of fuzzy logic control theory.