International Journal of Scientific & Technical Development - Volumes & Issues - Volume 6: Dec 2020, Issue 2

Plant Leaf Recognition using CNN, RESNET-50 and SVM

Authors

Shahid Hussain Wani, Abreen Rashid, Er. Jyoti Arora

DOI Number

Keywords

Plant leaf recognition, Convolution Neural network (CNN), image acquisition, image pre-processing, Feature extraction, leaf classification

Abstract

This research paper presents the Plant Leaf Recognition Using Convolution Neural Networks. Leaves are very important or significant part of the plant which actually identifies and classify the plants. Classification of the plant by their leaf biometric features is commonly performed task of trained botanist and taxonomist. To perform this task, they need to perform various set of operations. Because of this the task of classification of plants manually is time consuming. There are many biometric features of leaves of the plants for classification. Here the various features of leaves of the plant species are extracted for plant classification. A classifier named as a Convolution Neural Network (CNN) is trained to identify the exact leaf class. It is done to achieve high effectiveness with less computational intricacy.

References

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How to cite

Journal

International Journal of Scientific & Technical Development

ISSN

2348-4047

Periodicity

Bi-Annual