Classification of Immunity Booster Medicinal Plants Using CNN

dc.contributor.authorMusa, Md.
dc.date.accessioned2021-05-04T11:10:18Z
dc.date.available2021-05-04T11:10:18Z
dc.date.issued2020-12-31
dc.description.abstractEnvironment has blessed us with various kinds of plants. Some of them uses as resources of medicines as it is called medicinal plant. In Bangladesh medicinal plants are also known as Ayurvwda, Homeopathy and Unani. Expert says medicinal plants can be very useful in the fight with recent pandemic which is Covid-19. As we know health of a man depends on his immune system, so it is important to keep immunity stronger. Strong immune system can be influential to any infectious virus, bacteria and pathogens. On the other hand inactive one can get easily infected with virus and other illness. There are certain medicinal plants which reinforce our immunity. Therefore classification of these medical plants is very important. In this article we proposed a renowned algorithm called CNN for the classification. We used CNN for recognizing the plant from leaf images and got an accuracy of 95.58%. We believe that people who don't know or can’t recognize these medicinal plants, they will able to recognize it in future with our methodology. In future infectious virus can appear which can be more threatening than others, our research will help people to know about immune system and medicinal plants which reinforce our immunity, so that they can fight with diseases and viruses.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5693
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5693
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectMedicinal Plants
dc.subjectNeural networks
dc.subjectImmune system
dc.titleClassification of Immunity Booster Medicinal Plants Using CNN
dc.title.alternativeA Deep Learning Approach
dc.typeThesis

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