Low-Cost Internet of Things (IoT)-Based Climate Control Automation for Improved Poultry Growth and Survival in Least Developing Countries

Poultry farming in areas with unpredictable or extreme climates needs practical, low-cost solutions to mitigate risks and enhance productivity of the farm. This study looks at whether using a proposed budget-friendly automation system can make poultry farming stronger and more reliable, especially in places with tricky weather in the context of southern Asia’s least developed countries. This work describes a 35-day experimental deployment of a budget-friendly Internet of Things (IoT) climate control system for poultry farming in Bangladesh. The proposed automated climate-control system comprising with low-priced sensors and Arduino microcontrollers, which was installed in a shed featured for real-time monitoring and adjustment of temperature, humidity, and ammonia levels. Six DHT11 sensors were employed to monitor temperature and humidity, while a couple of MQ137 sensors measured ammonia levels. Data were recorded and crunched numbers to evaluate the effectiveness of the automated system and figure out how effective the automated system was. Side-by-side comparisons of a poultry shed equipped with an automated climate system and a standard traditional shed were investigated. It was found that there were significant improvements in how well the chickens grew and how many survived in the automated shed compared to the traditional one. Chicken growth increased by 26.19%, and deaths decreased by more than 13.33%. The statistical analysis revealed that the automated shed kept things much more consistent; temperature, humidity, and NH3 gas levels were more stable and less likely to fluctuate wildly. This shows that this low-cost, microcontroller-based automated climate control system can be an effective way to improve poultry farming, particularly when dealing with tough weather conditions. The results and analysis presented in this paper provide a valuable pathway for future researchers, offering insights into what can be expected when applying similar low-cost IoT-based climate control systems in poultry farming in the context of least developed countries .