Forest Fire Prediction Using IoT and Deep Learning

Forest Fire Prediction Using IoT and Deep Learning
Author(s):
Manasa Ravali N, Deepa P, Deepthy S, Nandini M
Keywords:
Forest fires, Forest fire prediction, sensors, CNN, Deep learning
Abstract
The most vital component of the planet is its forests. As they give many animals food and shelter. One of the biggest issues facing humans, animals, and plants is forest fires. It harms wildlife, the environment, and living things. A fundamental requirement for reducing the environmental issue is the ability to detect or predict forest fires. This paper provides a general overview of the many methods for locating fire or smoke in the woods. IoT and deep learning-based prediction techniques are proposed. It uses the Pi camera to capture fires. Fire detection using CNN model is effectively proposed. This aids in containing and bringing the forest fire under control.
Article Details
Unique Paper ID: 159070 Publication Volume & Issue: Volume 9, Issue 11 Page(s): 313 - 317
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org