Volume 11 - Volume 11
A Survey on Different Methods for Medicinal Plants Identification and Classification System
Abstract
Medicinal herbs are getting popular in the pharma industry because they have minimal side effects
and become less expensive than contemporary pharmaceuticals. Several people have indicated a
strong interest in the topic of automated medicinal plant identification as a result of these findings.
There's several avenues for progress in developing a strong classification that can reliably recognize
medicinal herbs in real - time basis. The effectiveness and reliability of many machine learning
techniques for plant categorization employing leaf pictures which have been employed in recent years
are discussed in this paper. Also included are assessments of their advantages and disadvantages.
For certain machine learning methods, the study provides the image processing techniques that are
employed to identify leaf and retrieve significant leaf attributes. The effectiveness of these machine
learning algorithms while identifying leaf images depending on typical plant properties, such as
form, vein, texture, and a mixture of numerous aspects, is categorized. The leaf datasets that are
publicly accessible for computerized plant identification are also examined, and the article closes
with a summary of existing study and potential for improvement in this field.
Paper Details
PaperID: 2362
Author's Name: Maibam Maikel Singh and Thounaojam Rupachandra Singh
Volume: Volume 11
Issues: Volume 11
Keywords: Medicinal Plants, Robust Classifier, Machine Learning, Multiple Features and Leaf Images.
Year: 2021
Month: July
Pages: 3191-3202