Fuzzy Logic and IoT for Aeroponic Temperature and Humidity Control
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Abstract
Aeroponic cultivation is a modern farming technique in which plant roots are suspended in the air and sprayed with a nutrient solution, proper control of temperature and humidity is essential to ensure optimal growth of aeroponic plants. This research aims to design and implement an air temperature and humidity control system in an aeroponic cultivation chamber This system utilizes a ESP8266 microcontroller integrated with a DHT22 sensor to detect air temperature and humidity in real-time. The data obtained from the sensors is used to control the output devices, i.e. pumps and fans, which are operated through the L298N Motor Driver. The results of the study showed that the developed system was able to maintain optimal temperature and humidity for lettuce growth with an accuracy rate of temperature readings of 98.35% and humidity of 98.45%. The system can work automatically based on Fuzzy Logic's algorithm, but it can also be monitored in real-time through the Blynk app connected to the internet network. Overall, the implementation of this system shows a significant improvement in the growth and development of lettuce plants compared to manual methods, making it an efficient and effective solution for modern aeroponic cultivation.
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References
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