Virtual Booth

This project uses an ESP32 microcontroller coupled with a relay module, a Capacitive Soil Moisture Sensor V2.0, a DS18B20 temperature sensor, and a 16x2 I2C LCD display to showcase the Design and Development of an IoT-Based Motor Control System to Enhance Automation and Energy Efficiency. In order to maximize water and energy use, the system attempts to automate the watering process depending on current soil conditions. The typical manual irrigation approach, which frequently results in water waste, needless motor runtime, and excessive labour dependence, is the issue being addressed. The goal is to develop an intelligent system that ensures effective water management by automatically turning on the water pump when soil moisture drops below 15% and shutting it off when it rises beyond 18%. While IoT systems like Blynk and Thing Speak are utilized for remote monitoring, data logging, and manual pump control, the ESP32 processes sensor data and displays it locally on the LCD. Hardware circuit integration, programming with the Arduino IDE, and cloud data synchronization over Wi-Fi are all part of the process. The technology consistently maintains ideal soil moisture, minimizes physical involvement, and improves energy efficiency through intelligent motor control, according to the trial results. In conclusion, by integrating automation, real-time monitoring, and remote accessibility to support sustainable agricultural practices, this Internet of Things-based automatic irrigation system offers a practical, affordable, and scalable solution for contemporary smart farming.