Alstonia Tree Detection using CNN and Inception V3 Algorithms

Abstract

Alstonia tree(Pale tree) is a tree whose bark extract is used for medicinal purpose and is difficult to identify. Due to the existence of wide variety of trees, as well as differences in orientation, viewpoint, background, clutter, and other factors, it is difficult to identify and categorize distinct trees using their images. Plant and tree identification is crucial since it allows us to collect the relevant information about various species to support a specific application. Here, the pretrained Inception V3 model and the Convolutional Neural Network (CNN) method are used to detect and classify trees. CNN models offer higher accuracy rates than conventional methods.