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- W4327499506 abstract "Plant kingdom plays a vital role in human life and provides oxygen, food, medicine, fuel, gums, and much more. Plants have been enriched with their medicinal values and active ingredients. It is very important to recognize medicinal plants and create awareness in society to protect and promote their existence for the next generations. Various parts of medicinal plants are used in preparing drugs and disease treatments for different health conditions. Leaves and flowers play an important role in identifying features of medicinal plants and having the highest medicinal properties. The color, shape, and texture features are important features used in the proposed work to classify medicinal plants. The present work classifies locally available medicinal plants using leaf images. The experiment considers 100 species from every 15 different species, and a total of 1500 images are used in the experiment. In the current work, the accuracy of the proposed algorithm yields 98.7%." @default.
- W4327499506 created "2023-03-17" @default.
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- W4327499506 date "2022-12-26" @default.
- W4327499506 modified "2023-09-27" @default.
- W4327499506 title "Ayurvedic Plants Identification based on Machine Learning and Deep Learning Technologies" @default.
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- W4327499506 doi "https://doi.org/10.1109/icerect56837.2022.10060533" @default.
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