From Sensor to Strategy: Leveraging IoT and Real-Time Data Analytics for Poultry Disease Management

The poultry industry faces progressive challenges in disease management due to the rapid spread of pathogens like avian influenza, posing significant threats to food security, public health, and economic stability. Traditional disease monitoring methods, reliant on manual inspections and delayed reporting, are often inadequate for timely interventions. This paper explores how Internet of Things (IoT) technologies and real-time data analytics can revolutionize poultry disease surveillance by enabling continuous, automated monitoring of environmental, physiological, and behavioral health indicators. Through predictive analytics and early warning systems, IoT-driven frameworks offer the potential to shift disease response from reactive to proactive, significantly reducing mortality rates, minimizing economic losses, and enhancing biosecurity. However, widespread adoption requires addressing critical challenges, including data privacy concerns, infrastructure limitations in rural areas, device interoperability, and the cost of implementation versus return on investment. The paper advocates for strategic partnerships between governments, technology providers, and the poultry sector, alongside policy frameworks that ensure ethical, scalable, and inclusive deployment of IoT systems. Future research should focus on developing AI models for disease variants, expanding surveillance to other zoonotic diseases, and creating affordable IoT solutions for smallholder farmers. Lastly, leveraging IoT and real-time analytics is important for building resilient, data-driven agricultural health systems that can safeguard food supply chains and public health in an increasingly interconnected world.