A Review on Deep Learning for Plant Species Classification using Leaf Vein

Abstract

Plants have a wide range of application in agriculture and medical purpose, and is especially significant to the bio diversity research. Plants are essential for the environmental protection. For the easy identification of plants it is important to identify and classify them accurately. By classifying plants we can learn about different kinds of plants and their features, similarities and differences. This work will help to classify plant species using leaf vein. The proposed approach consists of four main steps to extract the leaf vein - image sampling, image preprocessing (RGB to gray scale conversion,sobel edge detection, skeletionization), feature extraction and feature classification by CapsNet. This work is based on plant classification using leaf vein. It is specially designed for plants having compound leaves.