Tree Age Predictor Using Augmented Reality and Image Processing Techniques

Tree age predictor is an idea which arose due to the usefulness in knowing the age of the trees and the disadvantages in the current methods in determining the age of the tree. Cutting of trees leads to deforestation which is very bad to the environment and is one of the root causes to the problems arising related to climate change, global warming and ecological effects. Hence, we can reduce this deforestation up to some extent by reducing the wastage and unnecessary cutting of trees. The idea is to build an application which measures the diameter of the tree using the augmented reality(AR) toolkit created by Google, then we decipher the species of the tree using recognition machine learning(ML) models, with this acquired data and some internal calculations we predict the age of the tree. Traditionally people cut trees in half to predict the age by counting the internal rings or they use an instrument called an increment borer to extract the core for the tree which involves serious physical work. Hence, due to these certain difficulties the idea to build an application serves to be a better idea to avoid unnecessary deforestation and also physical work serving an efficient and eco-friendly manner to predict the age of a tree.