Poultry Health Monitoring With Advanced Imaging: Toward Next-Generation Agricultural Applications in Consumer Electronics
Wajahat Ali, Ikram Ud Din, Ahmad Almogren, Joel J. P. C. Rodrigues
Abstract
This study explores the fusion of Internet of Things (IoT) and advanced imaging technologies in the field of poultry farming, aiming to enhance both farm management and animal welfare. We investigate the application of IoT in a poultry farm environment, focusing on real-time monitoring of chickens for disease detection while ensuring data privacy during automated decision-making processes. Our approach introduces an innovative, cost-effective, and sustainable solution for the industry, leveraging the capabilities of YOLOv5 and ResNet50 algorithms for efficient disease detection and classification in poultry. This integration of IoT with advanced imaging techniques not only demonstrates a high accuracy rate of 99% in disease diagnosis but also shows a significant improvement in overall poultry health by 35%. Our findings underscore the potential of combining IoT and next-generation imaging technologies in consumer electronics to enhance disease management in poultry farming.