TY - GEN
T1 - HERBSNAP
T2 - 5th International Conference on Smart Electronics and Communication, ICOSEC 2024
AU - Balipa, Mamatha
AU - Kundapur, Poornima P.
AU - Kumar, Adarsh
AU - Anusha,
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85209929226
UR - https://www.scopus.com/pages/publications/85209929226#tab=citedBy
U2 - 10.1109/ICOSEC61587.2024.10722102
DO - 10.1109/ICOSEC61587.2024.10722102
M3 - Conference contribution
AN - SCOPUS:85209929226
T3 - Proceedings of the 5th International Conference on Smart Electronics and Communication, ICOSEC 2024
SP - 1050
EP - 1054
BT - Proceedings of the 5th International Conference on Smart Electronics and Communication, ICOSEC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 September 2024 through 20 September 2024
ER -