Smart Flood Warning System with ESP32-Based IoT Control

Abstract

This study details the development of an Internet of Things (IoT)-based egg incubator designed to automate the control and monitoring of temperature and humidity, addressing the inefficiencies of traditional hatching methods. The primary aim was to design and build a cost-effective and user-friendly incubator prototype for small-scale poultry farming, capable of maintaining stable environmental conditions to improve hatching success rates. The methodology involved a product development approach, starting with the design of an electronic system using an ESP32 microcontroller and a DHT22 sensor, and constructing a physical prototype. The system's functionality was tested over a 21-day incubation period with 10 chicken eggs, and its usability was evaluated through a survey of 11 poultry farmers. The findings demonstrated that the system effectively maintained temperatures between 37.1°C and 37.7°C and humidity between 41% and 73%, resulting in three successful hatches. User feedback was positive, with 72.7% of farmers expressing interest in the system, though 100% indicated a need for training. In conclusion, the project successfully produced a functional IoT incubator that meets the technical requirements for egg incubation and shows strong potential for adoption by its target users. Further enhancements are recommended, such as incorporating alternative power supplies and developing advanced automation features.