A Comparison of Different Methodologies for Predicting Forest Fires

Author:

Singh Kajol R.,Neethu K. P.,Madhurekaa K.,Harita A.,Mohan Pushpa

Publisher

Springer Singapore

Reference22 articles.

1. Rishickesh, R., Shahina, A., Nayeemulla Khan, A.: Predicting forest fires using supervised an ensemble machine learning algorithms. Int. J. Recent Technol. Eng. (IJRTE) 8(2), 3697 (2019)

2. Al_Janabi, S., Al_Shourbaji, I., Salman, M. A.: Assessing the suitability of soft computing approaches for forest fires prediction. Appl. Comput. Inf. 14, 214–224 (2018).

3. Cortez, P., Morais, A.: Data Mining Approach to Predict Forest Fires using Meteorological Data. https://www.dsi.uminho.pt/pcortez

4. Sun, Z., Fox, G.: Study on Parallel SVM based on MapReduce (2014). 10.1.1.300.9800

5. Suresh Babu, K.V.: Developing Forest Fire Danger Index Using Geo-Spatial Techniques. IIT Hyderabad-03-09. Report no: IIIT/TH/2019/21, (2019)

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