This study presents an Internet of Things (IoT)-driven management system for poultry battery cages, leveraging cloud computing and computer vision technologies to improve the efficiency, productivity, and monitoring capabilities in poultry farming business. Conventional methods of poultry management are frequently characterized by high labour demands and susceptibility to human error, which can result in less-than-optimal conditions for the animals. By incorporating IoT sensors for real-time data acquisition, alongside cloud computing and computer vision techniques, this study offers an innovative approach to the monitoring and regulation of environmental factors in poultry farming operations. IoT sensors were utilized to track critical parameters, including temperature, humidity, ammonia concentrations, and lighting conditions, while computer vision algorithms based on camera input were used to assess the health conditions of the poultry. The collected data were transmitted in real time to a cloud-based platform, enabling farmers to remotely access and analyse the information via web or mobile applications. The cloud computing infrastructure facilitates data storage, processing, and predictive analytics, thereby equipping farmers with the tools necessary to make informed decisions, optimize resource allocation, and mitigate potential health risks. The findings indicated that the system was able to monitor and control the critical parameters ensuring that optimum conditions were maintained with the battery cage. The system's performance showcases the technology's potential in IoT-based poultry battery cage management systems.
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