An Automated Temperature Control System: A Fuzzy Logic Approach

Abstract

Temperature variations due to climate change significantly affects crop production. To address this problem, automated cooling system technology can be used to provide suitable microclimate environment for the growth and development of a plant all year round. This research used fuzzy logic approach to monitor and control the temperature inside a Bamboo-style greenhouse for growing lettuce crop. The input parameters that were used are growth stage of the lettuce crop, inside air temperature and time of the day. Five digital humidity and temperature sensors were installed inside the chamber to monitor and control the inside air temperature. The readings from five sensors were calibrated and compared to commercially available room temperature. Based from the calibration results, temperature sensors have 3.75% mean difference only.