Wildfire Time Estimation using a Machine Learning Algorithms Interaction Mechanism for Endemic Tree Species Recognition.

This paper presents a system that analyzes a real-time captured image of a burning forest and produces an answer about which trees are burning, obtaining the tree species and the state of life (healthy, burning, or burnt). An architecture was implemented using several technologies that communicate with each other, exchanging data that generates a matrix that positions the species with their respective status in coordinates similar to how they are distributed in the forest. The proposed model can be used to predict the combustion points in forest fires, thus preventing the expansion of the fire and minimizing the damage caused by it.