Automatic Quail Coop System Based on IoT With Control of Temperature, Light, and Air Quality
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Abstract
Quail maintenance systems require stable environmental control to maintain livestock productivity and health. Factors such as temperature, light intensity, and air quality play an important role in the growth and egg production of quails. In practice, monitoring of cage conditions is often done manually, making it less efficient and prone to errors. This study aims to design and implement an automated quail cage system based on the Internet of Things (IoT) with temperature, light, and air quality control using the ESP32 microcontroller. A DHT11 sensor is used to measure temperature, an LDR sensor for light intensity, and an MQ135 sensor to detect air quality. The system is integrated with the Adafruit IO platform via the MQTT protocol, allowing users to monitor and control it in real-time from internet-connected devices. The test results show that the system is capable of detecting changes in environmental conditions and automatically activating actuators, such as turning on lights, opening cooling curtains, and operating waste cleaners. Thus, this system can improve quail maintenance efficiency, reduce manual intervention, and create more optimal cage conditions.
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