Deep Learning-Based Medicinal Plant Identification and Application Analysis

Deep Learning-Based Medicinal Plant Identification and Application Analysis

Dr. Mahendra Sharma1, Anand Kumar2, Ayush Yadav3, Ayush Verma4, Jyot Narayan5 12345Department of Information Technology

12345IIMT College of Engineering, Greater Noida, UP, India

a8362k@gmail.com ,

Abstract - In contemporary times, the lack of knowledge regarding rural and urban medicinal plants and their therapeutic applications is a common challenge. Individuals unfamiliar with such plants often rely on external expertise for identification. To address this, we developed a deep learning- based model utilizing Deep Neural Networks (DNN) to accurately identify medicinal plants. Our model was trained on a dataset comprising 12,000 images categorized into four distinct classes. The model achieved an impressive accuracy of 85% when tested on field images, demonstrating its efficacy in real-world scenarios.

Keywords - Medicinal Plants, Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Network, Fully Connected Layers, Neurons.