The project revolutionizes poultry farming with intelligent control systems powered by machine learning, optimizing conditions for healthier birds, higher yields, and sustainable operations in controlled shed environments.
The Intelligent Control Shed Poultry Farm System leverages Arduino Uno and machine learning to optimize poultry farm operations. Equipped with gas sensors to detect harmful gases, a temperature sensor for internal temperature monitoring, and a DHT11 sensor for humidity and temperature measurements, the system continuously collects environmental data. This data is processed by machine learning algorithms to detect any irregularities or potential hazards. When abnormal conditions are identified, the system promptly sends alerts via GSM messages. This integrated solution enhances poultry health management by monitoring and providing immediate responses, thereby improving overall farm efficiency and ensuring the well-being of the poultry.
Keywords: Machine Leaning, DHT11, Gas sensor.
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