Open AccessLeaf Features Extraction for Plant Classification using CNN
Author(s) -
P. Siva Prasad,
A. Senthil Rajan
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-807
Subject(s) - convolutional neural network , deep learning , artificial intelligence , computer science , pattern recognition (psychology) , artificial neural network , machine learning , deep neural networks , feature extraction
Deep learning is now an active research area. Deep learning has done a success in computer vision and image recognition. It is a subset of the Machine Learning. In Deep learning, Convolutional Neural Network (CNN) is popular deep neural network approach. In this paper, we have addressed that how to extract useful leaf features automatically from the leaf dataset through Convolutional Neural Networks (CNN) using Deep Learning. In this paper, we have shown that the accuracy obtained by CNN approach is efficient when compared to accuracy obtained by the traditional neural network.