Design and Development of an Intelligent Egg Incubator

Abstract

This thesis presents a comprehensive study on smart egg incubators that represent a technological advancement in the field of precision agriculture. These incubators rely on precise control systems (such as Arduino and IoT) to regulate optimal incubation conditions, including temperature (±0.1°C), humidity (50-70%), ventilation, and automatic egg turning. These incubators - whether small household units or large commercial systems - can achieve hatching rates of up to 98%, outperforming traditional methods. They also provide practical solutions to challenges such as power outages through the integration of solar power systems. The developed models (with competitive local production costs) have successfully enhanced productivity and chick quality, with promising potential for expansion through the integration of artificial intelligence and extensive field testing. This makes them an effective tool for achieving food security and sustainable agricultural development.