A fuzzy logic micro-controller enabled system for the monitoring of micro climatic parameters of a greenhouse

• Main Author: Sibiya, Malusi
• Other Authors: Sumbwanyambe, M.
• Format: Others
• Language: en
• Published: 2018
• Subjects: Fuzzy logic inference; Membership functions; Green house; Wireless networks; XBee; ZigBee; MATLAB; Raspberry pi; Python; XCTU; 630.2085; Fuzzy logic; Fuzzy systems; Agriculture > Remote sensing; Environmental monitoring > Remote sensing; Wireless sensor networks
• Online Access: Sibiya, Malusi (2017) Fuzzy logic micro-controller enabled system for the monitoring of micro climatic parameters of a greenhouse, University of South Africa, Pretoria, <http://hdl.handle.net/10500/24874>; http://hdl.handle.net/10500/24874

Motivation behind this master dissertation is to introduce a novel study called " A fuzzy logic micro-controller enabled system for the monitoring of micro-climatic parameters of a greenhouse" which is capable of intelligently monitoring and controlling the greenhouse climate conditions in a preprogrammed manner. The proposed system consists of three stations: Sensor Station, Coordinator Station, and Central Station. To allow for better monitoring of the climate condition in the greenhouse, fuzzy logic controller is embedded in the system as the system becomes more intelligent with fuzzy decision making. The sensor station is equipped with several sensor elements such as MQ-7 (Carbon monoxide sensor), DHT11 (Temperature and humidity sensor), LDR (light sensor), grove moisture sensor (soil moisture sensor). The communication between the sensor station and the coordinator station is achieved through XBee wireless modules connected to the Arduino Mega and the communication between coordinator station and the central station is also achieved via XBee wireless modules connected to the Arduino Mega. The experiments and tests of the system were carried out at one of IKHALA TVET COLLEGE’s greenhouses that is used for learning purposes by students studying agriculture at the college. The purpose of conducting the experiments at the college’s green house was to determine the functionality and reliability of the designed wireless sensor network using ZigBee wireless technology. The experiment result indicated that XBee modules could be used as one solution to lower the installation cost, increase flexibility and reliability and create a greenhouse management system that is only based on wireless nodes. The experiment result also showed that the system became more intelligent if fuzzy logic was used by the system for decision making. The overall system design showed advantages in cost, size, power, flexibility and intelligence. It is trusted that the results of the project will give the chance for further research and development of a low cost greenhouse monitoring system for commercial use. === Electrical and Mining Engineering === M. Tech. (Electrical Engineering)