| Summary: | The poultry farming industry plays a vital role in providing food for millions of people worldwide. However, the success of this industry depends heavily on the health and productivity of the poultry. Environmental factors such as temperature, humidity, and air quality can have a significant impact on the health and productivity of the poultry. One of the major issues that poultry farmers face is the high mortality rate of chicken during early stages of growth. This can lead to significant financial losses for the farm and negatively impact the overall productivity of the farm. A smart coop monitoring system is a cost-effective and easy-to-use solution that can help farmers to decrease the mortality rate of chicken during early stages of growth. It can track the environmental conditions inside the coop in real-time, including temperature, humidity, water level, light intensity, and the weight of broiler. Additionally, the system is equipped with AI prediction for weight of broiler, which can help the farmers to predict the growth of broiler and take actions accordingly. The system is designed to alert farmers to any abnormal conditions and provide historical data for analysis and optimization of the coop environment. By monitoring the environment inside the coops, farmers can ensure the optimal growth conditions for their poultry, detect, and address any abnormal conditions in a timely manner, and ultimately, improve the health and productivity of their farm. This thesis presents the design and implementation of a smart coop monitoring system for a poultry farm and its potential benefits to decrease the mortality rate of chicken during early stages of growth.
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