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dc.contributor.author Bhuiyan, Md. Rafiuzzaman
dc.contributor.author Oaphy, Md. Abdullahil-
dc.contributor.author Khanam, Rifa Shanzida
dc.contributor.author Islam, Md. Sanzidul
dc.date.accessioned 2022-05-07T06:16:50Z
dc.date.available 2022-05-07T06:16:50Z
dc.date.issued 2021
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7998
dc.description.abstract Medicine is the only thing by which we use where we feel bad condition of our body’s physical and mental illness. Most of medicines are made of specific plants from our nature. These plants are also known as a medicinal plant. All the traditional Bangladeshi medical systems, namely Ayurveda, Unani, Homeopathy, prominently use medicinal plants. So, it is important to classify the right plant for medical preparation. The ability to identify these plants automatically is needed in recent days. For this, we proposed a renowned algorithm called convolutional neural network for recognizing the plants from leaf image. Our algorithm got 84.58% accuracy. We developed this. We believe that in the future the individuals who do not distinguish medicinal plants will recognize using this methodology. en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject Medicinal plant en_US
dc.subject Plant recognition en_US
dc.subject Convolutional neural network en_US
dc.title MediNET: en_US
dc.title.alternative A Deep Learning Approach to Recognize Bangladeshi Ordinary Medicinal Plants Using CNN en_US
dc.type Article en_US


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