Smart CAGE Automated Poultry Health Monitoring and Disease Detection Using IOT and AI

Abstract

SmartCAGE is an AI- and IoT-enabled system developed for effective poultry disease detection and environmental monitoring. At its core, a Raspberry Pi 4 integrated with a Pi camera and OpenCV enables accurate cage identification through QR code scanning. An MQ-137 ammonia sensor provides real-time air quality data, ensuring a healthy poultry environment. A CNN-based model, trained on visual and behavioral data, classifies chicken health into categories including Coccidiosis, Salmonellosis, Newcastle Disease, and Healthy. Wireless data communication is handled by an ESP8266 microcontroller for seamless connectivity between components. SmartCAGE improves operational efficiency by automating disease detection and environmental monitoring, minimizing manual intervention. Its fast, accurate analysis enables early intervention, reducing mortality and boosting productivity. By combining AI diagnostics with IoT hardware, SmartCAGE provides a scalable, cost-effective solution to enhance poultry welfare and farm management.