Vegetation Classification Based on Leaf Pattern
Keywords:
Image Processing, Leaf Classification, Convolutional Neural Network (CNN), supervised learning algorithm, Artificial Neural Network (ANN).Abstract
In this current world, vital species of plants are going to be lost day by day. To command, this phenomenon, steps are first discovering then restoring and retain them. Among them, spotting of plant is giving up challenging. Usually, plants are recognizing from their leaves. In this paper, a deep neural network model is implemented which will extract the hidden pattern form leaf images. A classifier named as Convolutional Neural Network (CNN) is made to identify the expected leaf class. It is done to secure high efficiency with less computational cost. The effort has been evaluated on 92 leaf images and finally predicting on 21 leaf images. It is observed that this version supply 96.74% accuracy with no less than seven enter features. This attempt is implemented the use of picture processing and neural network.
