Iot-Based Rain Detector System Using Arduino ESP-32

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ID: 312595
2026
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Abstract
Is it feasible to automate the rain detector using an Arduino ESP-32 IoT device to enhance its performance? The Internet of Things [IOT] is changing weather practices and human life. Researchers are implementing IoT in weather practices. The development and statistical testing of an IoT-based rain detection module using the Arduino ESP32 microcontroller was the main focus of this study to enhance weather-based automation in smart environments. It was hypothesized that digital sensors and controllers could be interconnected to automate real-life systems, such as detecting rainfall and responding accordingly. This research aimed to provide a solution for urban areas where real-time rain monitoring is essential, especially for smart irrigation or safety systems. By implementing a rain detector system based on the IoT approach using the ESP32, the study offers a reliable, low-cost, and automated method to detect rain, trigger alerts, and integrate with other smart devices. An ESP-32 microcontroller was adapted and tested to collect real-time environmental data, specifically focused on detecting rainfall, humidity, temperature, and atmospheric conditions. Through its integrated Android application, the ESP-32 microcontroller enables users to monitor weather conditions remotely, providing real-time environmental updates and data analysis. This system supports better decision-making in weather-sensitive areas, automating responses such as halting irrigation or activating covers during rainfall. It has the potential to reduce water wastage by 30% and minimize weather-related damage by providing timely alerts through automatic rain detection. Using this IoT-based project, users, particularly in urban and rural areas, can manage outdoor systems more efficiently without relying on manual monitoring. It is recommended to implement this IoT-based rain-detection solution across both urban and rural agricultural environments to enhance weather management and disaster preparedness. 
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Authors Ayoub Alsarhan
Journal Journal of Computing & Biomedical Informatics
Year 2026
DOI
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URL
https://jcbi.org/index.php/Main/article/view/1336
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