Analysis of Ayurveda Leaves Using Deep Learning

Kiran Annavaram, P. Shahin, Pavan Kumar B., Venkat Rohith Reddy E., Praneetha P.

2025

Abstract

India has several traditional medical systems, including Ayurveda, yoga, unani, siddha, and homeopathy. Ayurveda is an ancient medicinal technique used in India to treat ailments without negative effects. Medicinal plants and herbs are essential or health- care purposes. It is critical to retain and digitize information on the rapeutic techniques. Alotofre search on Ayurveda is available as unstructured textual data, such as journals and articles. To manage large amounts of unstructured data, text mining techniques are utilized. With the fast expansion in textual material, finding meaningful information has become difficult. Quality information retrieval relies on a semantic comprehension of document content. however, existing classification systems vary in textual categorization, which impacts accuracy and occasionally leads to misinterpretation of the data. the suggested approach effectively retrieves important data while maintaining the system's efficiency and performance. the information extraction technique uses a medicinal plant ontology with semantic knowledge representation and an algorithm (ontology-based concept extraction and classification, ocec) to semantically map terms and their associated concepts in the medicinal plant ontology, resulting in accurate classification and retrieval.

Paper Citation

in Harvard Style

Annavaram K., Shahin P., B. P., E. V. and P. P. (2025). Analysis of Ayurveda Leaves Using Deep Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 620-626. DOI: 10.5220/0013887400004919

in Bibtex Style

@conference{icrdicct`2525,
author={Kiran Annavaram and P. Shahin and Pavan B. and Venkat E. and Praneetha P.},
title={Analysis of Ayurveda Leaves Using Deep Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={620-626},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013887400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Analysis of Ayurveda Leaves Using Deep Learning
SN - 978-989-758-777-1
AU - Annavaram K.
AU - Shahin P.
AU - B. P.
AU - E. V.
AU - P. P.
PY - 2025
SP - 620
EP - 626
DO - 10.5220/0013887400004919
PB - SciTePress