HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species

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.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/icosec61587.2024.10722102
Primary Topic
Botanical Research and Chemistry
Type
article
Field-Weighted Citation Impact
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article

HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species

Poornima Panduranga Kundapur, Mamatha Balipa, Anusha, Adarsh Kumar
Botanical Research and Chemistry
article

HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species

Poornima Panduranga Kundapur, Mamatha Balipa, Anusha, Adarsh Kumar
article en

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.

Manipal Academy of Higher Education (IN)
Zero hunger
Openalex Percentile: Top 87%
Botanical Research and Chemistry
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