This system, designed for poultry farmers, is a responses to shifting conditions. Although the emergence of Smart Brooding System for Poultry. The researchers used the Internet of Things (IoT) has introduced opportunities for a prototyping model to develop the system. The design can automation, a core limitation of many existing IoT - based give the farmers an easy way to monitor their brooder solutions is their narrow focus. Most systems prioritize basic through their mobile phones using the internet. The system temperature an d humidity co ntrol while overlooking critical was evaluated using ISO 25010 , an International Standard factors such as ammonia gas accumulation and real - time visual of Software Evaluation. Farmers can monitor the water, monitoring of chick behavior. This lack of comprehensive data ammonia gas, humidity, and temperature status, and they collection severely compromises the reliability of the system, can monitor the chicks through live viewing. Internet making it less dependable for formal health assessment and acces s is needed for this mobile monitoring app, where the preventative management. application displays the value of the sensor reading inside the brooder and the time when the data was retrieved. This To establish a more consistent and accurate design is an improved brooder system that uses the understanding of a flock’s condition, integrating advanced Internet of Things (IoT). It is possible to get the sensor technologies and behavioral analysis into the information from the water, ammonia gas, humidity, and monitoring process is essential. Ammonia, a byproduct of temperature sensors and analyze it digitally from manure decomposition, poses significant hea lth risks that anywhere in the world. The IoT using Arduino remain invisible without specialized sensors, and signs of Microcontroller is easy and fun to use. Presented here is a chick distress — such as abnormal clustering — are often missed water, ammonia gas, humidi ty, and temperature without continuous camera monitoring. By integrating gas - monitoring system using Arduino and the Internet of detection sensors and computer vision with an automated Things applied in the field of agriculture. monitori ng system, the accuracy of environmental data can be