Most of the people living in cities are not aware of medicinal plants around them and visits hospitals for any mild symptoms, but people in villages visits hospital rarely they treat themselves using the medicinal plants around them. The project focuses on medicinal plant identification based on leaf image classification and listing out their medicinal uses/values using an mobile application. To create awareness among the people this application is quite useful and long discussed topic to extract or measure leaf features. The urgent need is that many plants are at risk of extinction. There are thousands of plants known and unknown that yield to medicine or drugs and is of great use to men. We believe that the first step is to teach a Computer how to classify plants. The recognition of the tens of thousands of plants on earth is an important and difficult task, this makes an application in this field as a new challenge. Designing a convenient and automatic recognition system of plants is necessary and useful since it can facilitate fast classification of plants, understanding and managing them. Our project is based on identification and knowing the uses/values of medicinal plants in Tamil Nadu which runs as an android application. Major steps followed here are image processing- RGB to Grey scale and binary conversion, feature extraction, classification- SVM algorithm. Finally, it becomes our duty to know the plants and preserve it and make the people aware of it. The work done here is implemented using Image Processing and Support Vector Machine in MATLAB.
Support Vector Machine, Automatic Recognition, Image Pre-processing, Classification, Feature Extraction, MATLAB
Magin Sugi. S , Supriya. M , S. Oswalt Manoj "AN APPLICATION TO IDENTIFY THE AVAILABILITY OF MEDICINAL PLANTS" Iconic Research And Engineering Journals Volume 2 Issue 9 2020 Page 76-80
Magin Sugi. S , Supriya. M , S. Oswalt Manoj "AN APPLICATION TO IDENTIFY THE AVAILABILITY OF MEDICINAL PLANTS" Iconic Research And Engineering Journals, 2(9)