Design and Development of an Efficient IoT-based Egg Incubation System

Large-scale production for the successful hatching of eggs is one of the major issues for poultry-industry farmers. Eggs are incubated naturally by hens, but such a natural procedure is not sufficient to produce chicks as per increasing protein (i.e., meat) demands. Therefore, to meet the increasing demand of poultry food protein, an efficient IoT-based egg incubation system is proposed in this paper, which can be a promising solution. It is worth mentioning that few incubation factors (i.e., egg weight loss/gain) dependent mainly on environmental humidity and temperature those need to be monitored constantly and remotely (i.e., by android application, SMS alerting via GSM module, and real-time incubation snaps by the camera) by IoT-based solution to resolve the weight loss effect during incubation period. Moreover, to achieve a successful hatching rate in such IoT-based egg incubation-system ventilation, egg turning, and candling of eggs should be handled carefully as well. This research has focused on the mentioned issues and proposed a new approach for the design and implementation of an IoT-based efficient egg incubator. Furthermore, through experiments, a good amount of statistical data have been generated which has created a scope to apply machine learning-based algorithms for further optimization.