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🔥 Forest fire history analysis in R.
Forest Fire Prediction using Deep Learning
Forest fire detection with STM32-F446RE with the use of RGB color values by the help of trained ML model
Documentation for the Forest Fire Monitor
Linear Regression Models on Montesinho Forest Fire
This repository is related to the R package for geospatial analysis, which is an R frontend of a stand-alone executable command-line program called WhiteboxTools.
Simple Forest Fire Simulation in Python.
Presently there is a huge need for us to predict forest fires, to curb them as soon as possible before it wreaks havoc as it has done several times between 2019-2021(and this pattern doesn't seem to end any soon). Keeping this in mind, I built a classifier using Inception V3 model that'd predict the possibility of forest fire or the start of it(smoke). Used the dataset composed of 800 forest fires, smoke and no fire images, I augmented it to make a dataset of 5794 images and then trained and validated through our model. The observed accuracy was 88.85 percent in training and 81.63 percent in validation. Pretty Neat!