Vol. 10, Special Issue 8 (2025)

Author(s): Tareesh MT, Anandhi M, Sujatha G and Thiruvenkadan AK

Abstract: Digital Twin (DT) technology is revolutionizing the poultry farming by integrating the real-time data analytics, artificial intelligence (AI) and Internet of Things (IoT) to enhance the farm management and productivity. This review examines the role of DT in optimizing poultry health monitoring, disease prevention, feed efficiency and breeding strategies through virtual simulations and predictive analytics. By replicating,real-world farm operations in a digital environment, DT enablea data-driven decision-making option which reduce operational cost and improves overall efficiency.This study follows a literature-based review approach, by analyzing peer-reviewed articles and industry reports to evaluate the current advancements, applications and challenges of DT in poultry farming. Key themes explored in this review include IoT driven monitoring, AI-powered predictive models and cloud-based data processing on precision farming.Despite its transformative potential, DT adoption in poultry farming faces challenges such as high implementation costs, technical complexity and data security concerns. To overcome thes barriers requires AI-driven predictive models, cost-effective solutions and standardized frameworks to facilitate wider adoption. As the poultry sector increasingly embraces smart farming methods, Digital twin (DT) technology is taking on growing significance on it. It plays a significant role in ensuring enhanced sustainability, greater efficiency in operations, as well as overall profitability growth on the poultry farm. This technology is driving towards making the future of poultry production intelligent, data-driven, with technology facilitating informed decision-making as well as optimized farm outcomes.

DOI: 10.22271/veterinary.2025.v10.i8Sb.2476