Table 3: Wireless sensors network based monitoring and prediction.
Reference, Year |
Purpose |
Data |
Classifier/Predictor |
Performance |
Lin, et al. [111] |
Forest fire prediction |
Weather, location and time history data) |
Fuzzy inference system |
75% prediction accuracy |
Biu, et al. [7] |
Forest fire danger prediction |
Weather data and Location data |
DFP-MnBpAnn |
89% Accuracy |
Lee, et al. [113] |
Fire detection |
UAV imagery |
Deep convolutional NN |
> 95% accuracy |
Arkin, et al. [116] |
Fire severity mapping |
UAV imagery |
Random Forest classifier |
89% accuracy |
Jiao, et al. [117] |
forest fire detection |
UAV-based aerial images |
Convolution neural network (CNN) |
83% Accuracy |
Barmpoutis, et al. [118] |
Early fire detection |
Aerial 360-degree imagery |
Convolution neural network (CNN) |
94% Accuracy |