Abstract: From Vedic times plants have been used as a source of medicine in ayurveda. In the preparation of ayurvedic medicine, identification of correct plant is the most important step, which has been done manually. Due to demand of mass production, Identification of these plants automatically is important. In this project we have been implement a technique for medicinal plant identification using random forest algorithm, an ensemble supervise machine learning algorithm based on color, texture and geometrical features then reduced feature vectors are inputted into the classification model. Convolution Neural Network (CNN) is used for classification and identifying the animal class.

Keywords – CNN – Convolution Neural Network


Downloads: PDF | DOI: 10.17148/IJARCCE.2023.12537

How to Cite:

[1] Mrs.J.L.B.Sharmila M.E , Anisha.S , Angel Sneha.A , Preethi Salo.J, "Medicinal Plants Identification using Convolution Neural Network," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12537

Open chat
Chat with IJARCCE