Abstract: This project introduces an intelligent, automated system designed for bird feeding and poultry management. Traditional poultry systems rely heavily on manual monitoring, which often results in significant food wastage and inefficient tracking of bird health. To overcome these challenges, we propose a "Smart Poultry System" that integrates automated temperature adjustment and real-time health monitoring.

The system automates feeding schedules based on specific phases of bird growth. The architecture combines Arduino-based hardware with Machine Learning (ML) synergy, utilizing a multi-sensor array for real-time data acquisition and autonomous decision-making. By leveraging these technologies, the system ensures optimal environmental conditions and precise resource management, significantly improving the efficiency of poultry farming.

Keywords: Internet of Things (IoT), Machine Learning (ML), Data Acquisition (DAQ), Real-time Monitoring, Smart Poultry Management, Automatic Feeding System.

Downloads: | DOI: 10.17148/IARJSET.2026.13449