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HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

False daisy, also known as Eclipta prostrata, is an herb that has been used in traditional medicine for its antibacterial, skin care, liver care, and hair care properties. This plant is known for its ability to stimulate hair growth, promote liver function, alleviate pain and inflammation, and fight infections. However, identifying False Daisy can be challenging as it shares a similar appearance with Smooth Joy Weed and grows under varying environmental conditions. To overcome this challenge, machine learning models such as Convolutional Neural Network (CNN) have been trained to differentiate between False Daisy and Smooth Joyweed with confidence. Convolutional Neural Network (CNN), Support Vector Machine (SVM) approaches are commonly used for plant identification due to their ability to identify complex patterns within images.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Smart Electronics and Communication, ICOSEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1050-1054
Number of pages5
ISBN (Electronic)9798331504403
DOIs
Publication statusPublished - 2024
Event5th International Conference on Smart Electronics and Communication, ICOSEC 2024 - Trichy, India
Duration: 18-09-202420-09-2024

Publication series

NameProceedings of the 5th International Conference on Smart Electronics and Communication, ICOSEC 2024

Conference

Conference5th International Conference on Smart Electronics and Communication, ICOSEC 2024
Country/TerritoryIndia
CityTrichy
Period18-09-2420-09-24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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