Incorporating AI and IoT for Smart Poultry Monitoring and Health Detection
Kapil Joshi, Arun Kumar, Harishchander Anandaram, Anil Kumar, Ambika Aggarwal, Gunjan Chhabra
Abstract
One vital sector of animal husbandry, poultry farming, is moving towards scale, intelligence, and automated operations. The emergence of digital technology has significantly improved a number of fields. An extensive analysis of the literature is presented in this paper, with a focus on AI-enabled IoT applications for managing poultry health and well-being. This study primarily centred on chicken welfare, considering modern poultry husbandry is challenged with problems pertaining to standardised criteria for welfare evaluation and reliable monitoring methods, notably for broiler wellness and disease outbreak prevention. There is a compelling rationale for using contemporary technology to continually monitor big farms with millions of birds and increase overall production. This is because there are now increasingly affordable processing resources, IoT sensors, and standard algorithms available. The most important sources of protein in the diet are eggs and poultry, thus poultry farm oversight should prioritize the use of cutting-edge technology solutions. As a result, this study presents a systematic review of the most cutting-edge IoT systems with AI capabilities as well as their most recent developments in the creation of smart systems in this field. The study also explores the benefits and problems that AI and IoT present for chicken farming.