This paper presents the design and evaluation of a robotics-integrated poultry coop system—termed "Next-Gen Coops"—that leverages advanced sensor  networks, real-time data analytics, and automated control mechanisms to enhance both poultry welfare and productivity. The proposed system employs a suite of environmental and biometric sensors to continuously monitor key parameters such as temperature, humidity, air quality, and animal behavior. Data from these sensors is processed using edge computing techniques, allowing for immediate adjustments to the coop environment, including automated ventilation, feeding, and cleaning protocols. A study was conducted over a six-month period, assessing the performance of traditional coops against those equipped with robotic technologies. Findings indicate a marked improvement in growth rates and feed conversion ratios in the robotics-enhanced coops, alongside a significant reduction in stress-related behaviors and disease incidences. These results underscore the dual benefits of increased production efficiency and enhanced animal welfare, achieved through precise environmental control and proactive health management. The study further explores challenges associated with the integration of robotics into existing poultry farming infrastructure, such as the need for substantial initial capital investment, staff training, and system maintenance. The implementation of Next-Gen Coops demonstrates a promising advancement in sustainable poultry farming, offering a scalable solution that aligns economic incentives with ethical animal husbandry practices.
 

Robotics,process innovation,production efficiency,artificial intelligence,internet of things (IoT)