IoT Based Waterfall Prediction

Author(s)	Raghuveer Kumar, Ravinder Singh, Anuj Poonia, Gaurav Soni
Country	India
Abstract	: In this project we made an IoT-based rainfall prediction system. Which provides you a realtime monitoring and forecasting system of rainfall using different types of sensors and different microcontroller technology. In this system we use a DHT11 sensor for compute the temperature and humidity of the environment, a BMP280 sensor is used for reading the pressure and rain sensor for rain detection and precipitation.All the sensor is connected to the Arduino Uno and the Breadboard. Which processes the whole environmental data and gives the reading. This is a low-cost energy–efficient project which is very useful for rural area issues like agriculture and it help the urban society to plan their disaster management.This project helps the rural and urban areas to take smart decision on the basis of this project.
Keywords	IoT , Rainfall , Prediction , Sensor
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-01
Cite This	IoT Based Waterfall Prediction - Raghuveer Kumar, Ravinder Singh, Anuj Poonia, Gaurav Soni - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4217
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4217
Short DOI	https://doi.org/g9g7zz

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