IOT BASED EARLY FLOOD DETECTION USING MACHINE LEARNING

Author:

Byali Ramesh,Divya P Bindu,Maskikar Supraja V,N Chitrashree,Bhonsle Sanjana H

Abstract

Flood which is a complex phenomenon happening all over the world is the ultimate result of climate change. Although there are some gauging stations which are used to predict the occurrence of flood, but they are not really accurate. Unexpected occurrence o f flood is causing damage not just to the lives of people but also to the valuable infrastructure. The purpose of our project is to develop a real time and reliable fl ood monitoring and detection system using deep learning. This paper proposes an wireless sensor networking technology as the reliable, low power and wide area communication for flood detection. Beside that we employee Convolutional Neural Network to detect the presence of living beings who got struck in the flood.

Publisher

Genesis Global Publication

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Flood Detection System: Text-Driven Flood Alert Systems with IoT Arduino;2023-12-27

2. IoT-Based Flood Early Warning System For Remote Deployment and an Integrated Social Media;2023 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS);2023-12-19

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