Abstract
Agriculture is highly dependent on environmental conditions, and sudden rainfall is one of the major causes of crop damage, especially during harvesting, drying, and storage in open areas. Traditional methods of protecting crops from rain mainly rely on manual covering, which is time-consuming, labour-intensive, and unreliable during unexpected rainfall or night-time conditions. To overcome these limitations, this project presents the design and development of an automatic rain activated shutter mechanism for crop protection using an Esp32 Micrometer board. The proposed system is designed to automatically detect rainfall and provide immediate protection to crops by operating a motor-driven shutter mechanism. A rain sensor module is used to sense the presence of rain by detecting changes in electrical conductivity caused by water droplets. The sensor output is continuously monitored by an Arduino, which acts as the central control unit of the system. Based on the programmed logic, the Arduino activates a relay or motor driver circuit to control a DC motor. This motor drives the shutter mechanism, which closes automatically when rain is detected and opens again once the rain stops. The system is designed with a focus on simplicity, low cost, and reliability, making it suitable for small and medium-scale farmers. The mechanical structure uses easily available materials, while the electronic components operate at low voltage, ensuring safety and ease of maintenance. Experimental testing of the prototype shows fast response time, smooth shutter operation, and effective protection of crops from rainfall. This project demonstrates the practical application of automation in agriculture and highlights the potential of Arduino-based systems in reducing crop losses, minimizing manual labour, and improving farming efficiency. With further enhancements such as solar power integration and wireless monitoring, the system can be extended for large-scale and smart farming applications.
Keywords
ESP32, Rain Detection, Embedded Systems, Smart Automation.
Citations
IRE Journals:
Nikita Mane, Alisha Kamble, Vishakha Matere, Preeti Thorve, Prof. R. C. Lokhande "Rain Detection System Using ESP32 Microcontroller" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3138-3146 https://doi.org/10.64388/IREV9I9-1715683
IEEE:
Nikita Mane, Alisha Kamble, Vishakha Matere, Preeti Thorve, Prof. R. C. Lokhande
"Rain Detection System Using ESP32 Microcontroller" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715683
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