Automatic Classification of Medicinal Plants Using State-Of-The-Art Pre-Trained Neural Networks
Authors:
- Sheetal S. PatilSPSheetal S. Patil
- Suhas H. PatilSPSuhas H. Patil
- Avinash M. PawarAPAvinash M. Pawar
- Netra S. PatilNPNetra S. Patil
- Gauri R. RaoGRGauri R. Rao
Open Access
- 17 October 2022
- journal article
- research article
- Published by Auricle Technologies, Pvt., Ltd. in Journal of Advanced Zoology
- Vol. 43 (1) , 80-88
Abstract
No abstract availableThis publication has 10 references indexed in Scilit:
- A Comprehensive Survey on Transfer LearningProceedings of the IEEE, 2021
- Leaf Segmentation and Classification with a Complicated Background Using Deep LearningAgronomy, 2020
- Efficient and Automated Herbs Classification Approach Based on Shape and Texture Features using Deep LearningIEEE Access, 2020
- Machine learning in medicinal plants recognition: a reviewArtificial Intelligence Review, 2020
- AyurLeaf: A Deep Learning Approach for Classification of Medicinal Plants2019
- Plant species identification from leaf patterns using histogram of oriented gradients feature space and convolution neural networksJournal of Information and Telecommunication, 2019
- MobileNetV2: Inverted Residuals and Linear Bottlenecks2018
- LeafNet: A computer vision system for automatic plant species identificationEcological Informatics, 2017
- Plant Species Identification Using Computer Vision Techniques: A Systematic Literature ReviewArchives of Computational Methods in Engineering, 2017
- Leaves Shape Classification Using Curvature and Fractal DimensionLecture Notes in Computer Science, 2010