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Forest Combustion Detection using Artificial Intelligence
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 17 |
| Year of Publication: 2022 |
| Authors: D. Sai Sowmya, M. Rekha Sundari, K. Nikhila, J. Sai Sudeshna |
10.5120/ijca2022922169
|
D. Sai Sowmya, M. Rekha Sundari, K. Nikhila, J. Sai Sudeshna . Forest Combustion Detection using Artificial Intelligence. International Journal of Computer Applications. 184, 17 ( Jun 2022), 16-22. DOI=10.5120/ijca2022922169
Abstract
Forests are a major source of natural resources that provide both direct and indirect benefits and play a vital role in human life on earth. It is our primary responsibility to save our planet from deforestation and extreme fires. The project is aimed at firefighting areas to save wildlife, and the environment and to protect endangered species from extinction. Forest fires have extreme effect on the environment, and they also affect the future for decades. In this paper forest fire detection system was based on Convolutional Neural Network (CNN).The paper uses a set of datasets that contains many images of forest fire and normal forest images. The user takes input an image and then it is determined if the given image is an image with fire or not. In this paper, we used many convolutional layers and also added two more densenet layers for accurate output. To identify the fires in the forest we used a dataset with which we can train our model and display the results in the form of graphs. Using this paper, we discuss how to build a reliable and cost-effective machine that detects forest fires efficiently and accurately.
References
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