Medicinal Plant Identification in Real-Time Using Deep Learning Model

• Published in: SN computer science Vol. 5; no. 1; p. 73
• Main Authors: Kavitha, S., Kumar, T. Satish, Naresh, E., Kalmani, Vijay H., Bamane, Kalyan Devappa, Pareek, Piyush Kumar
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.01.2024; Springer Nature B.V
• Subjects: Accuracy; Analytics and Networks; Applications programs; Automation; Ayurvedic medicine; Botany; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Deep learning; Diverse Applications in Computing; Flowers & plants; Herbal medicine; Herbs; Information Systems and Communication Service; Leaves; Machine vision; Medical research; Medicinal herbs; Mobile computing; Original Research; Pattern Recognition and Graphics; Pharmaceuticals; Plant diseases; Quality control; Real time; Software Engineering/Programming and Operating Systems; Vision; Borneo; Augmentation; Deep learning; Medicine; Plant; Accuracy; Resize; Cloud; Mobile application

Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian Forest is the principal repository for many useful medicinal herbs. As a result of their critical role in maintaining people's life, medicinal plants have traditionally been the subject of intensive re...