Year: 2025
Type: article
Abstract: : —Accurate identification of medicinal plants is essential for ensuring the efficacy and safety of herbal treatments, particularly in regions where traditional medicine plays a vital role in primary healthcare. This study presents a deep learning-based approach for the automatic identification of medicinal plant species using Convolutional Neural Networks (CNNs). The proposed system has the potential to assist botanists, pharmacists, and traditional medicine practitioners in reliable and efficient plant identification, thereby reducing the risks associated with misidentification and promoting the sustainable use of medicinal flora. Future work includes expanding the dataset, incorporating image data from various environmental conditions, and developing a mobile application for real-time field use. Key Words: — Medicinal Plants, Leaf, CNN, Identification, artificial intelligence, Deep learning (ML)
Authors: SHILPA R.V, GURUPRASAD M.K, DILEEP KUMAR H.M
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410380810