Classification of Medicinal Plants Using Machine Learning
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Date
2022
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Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
Nowadays, peoples are not having information about the surrounding plants and their medicinal values. If some person wants to know about the medicinal plants, they have to contact the person who is having deep knowledge about the medicinal plants and its uses. In order to solve this problem we can use the current technology to give a tool which will help the common people to know more about the medicinal plants. For doing this we can use many machine learning techniques for classifying the medicinal plants with more accuracy. Different kind of medicinal plant species are available on the planet earth but classification of the Particular medicinal plant is very difficult without knowing about the plants first. The information about the medicinal plants is collected by the scientists and urban people. Generally this kind of knowledge is passed through generation to generation and sometimes there might be some changes in the information and its contents. So according to the current situation we can use the machine learning technology to make the tool which will be helpful to solve the medicinal plant classification problem. Machine learning model can easily classify the medicinal plants after the feature extraction and applying the model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Keywords
Feature extraction, Machine learning technology, Medicinal plants, ResNet50, SVM
Citation
Smart Innovation, Systems and Technologies, 2022, Vol.289, , p. 255-267
