👉 Poultry computing refers to the integration of advanced computing technologies, such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), into poultry farming operations to enhance efficiency, productivity, and animal welfare. This involves using sensors and connected devices to monitor various aspects of poultry health, growth, and environmental conditions in real-time. Data collected from these devices is then analyzed by sophisticated algorithms to provide actionable insights, enabling farmers to make informed decisions on feeding, breeding, disease prevention, and overall management. For instance, AI can predict disease outbreaks based on behavioral changes, while ML models can optimize feeding schedules to maximize growth rates and minimize waste. By automating routine tasks and providing predictive analytics, poultry computing aims to reduce labor costs, improve animal health, and increase the sustainability of poultry farming practices.
