The rapid growth of the Internet of Things (IoT) has opened new opportunities for improving agricultural andlivestock management through automation and intelligent monitoring. Traditional poultry farming requires continuoushuman supervision to maintain optimal conditions for bird health, growth, and productivity. Factors such as temperature,humidity, feed levels, and water supply need constant regulation, and manual control often results in inefficiencies or losses.This study presents the design and implementation of a smart poultry farm automation and monitoring systemthat utilizesIoT-enabled sensors and microcontrollers to ensure real-time environmental control and data analysis. The systemmeasureskey parameters such as temperature, humidity, light intensity, ammonia levels, and feed status, transmitting datatoacloudplatform for continuous monitoring. Farmers can access real-time information via a web or mobile interface, receivealerts,and remotely adjust conditions. Automated actuators control fans, heaters, lights, and feeders based on sensor feedbacktomaintain an ideal environment. By integrating low-cost hardware such as the STM32 or Arduino microcontroller withWi-Ficonnectivity modules and cloud databases, the proposed system ensures scalability, affordability, and reliability. Thisapproach minimizes manual intervention, reduces operational costs, and enhances poultry health and productivity. Thesolution represents a step toward smart agriculture, enabling data-driven decision-making and sustainable livestockmanagement through IoT-based automation and monitoring. Keywords: IoT, Automation, Poultry Farm, Microcontroller, Sensors, Cloud Monitoring, Smart Agriculture, Temperatureand Humidity Control