• Login
    View Item 
    •   Home
    • LECTURER SCIENTIFIC PUBLICATION (Publikasi Ilmiah)
    • LSP-Conference Proceeding
    • View Item
    •   Home
    • LECTURER SCIENTIFIC PUBLICATION (Publikasi Ilmiah)
    • LSP-Conference Proceeding
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A novel herbal leaf identification and authentication Using deep learning neural network

    Thumbnail
    View/Open
    FT_Khairul Anam_Prosiding_A novel herbal leaf identification and authentication using.pdf (2.007Mb)
    Date
    2020-11-18
    Author
    HARYONO
    ANAM, Khairul
    SALEH, Azmi
    Metadata
    Show full item record
    Abstract
    Herbal plants are plants that can be used as an alternative to the natural healing of diseases. The existence of herbal plants is still not widely known by the public. It is due to many types of medicinal plants so it requires special knowledge to recognize them. A smart and accurate herbal leaf recognition system is needed to overcome this. This study aims to identify and authenticate herbal leaves using the convolutional neural network and Long Short-Term Memory (CNN-LSTM) methods. Identification was carried out on nine types of herbal leaves divided into two-thirds of training data and one-third of testing data. The results of the identification process were validated by other data not included in training data and testing data, as well as leaf data other than the nine types of leaves identified. The CNN-LSTM method shows good results in the identification process, with an accuracy of 94.96%.
    URI
    http://repository.unej.ac.id/handle/123456789/103241
    Collections
    • LSP-Conference Proceeding [1761]

    UPT-Teknologi Informasi dan Komunikasi copyright © 2021  Perpustakaan Universitas Jember
    Contact Us | Send Feedback

    Indonesia DSpace Group :

    Repository Universitas Jember
    Repository Institut Pertanian Bogor
    Repository UIN Syarif Hidayatullah Jakarta
     

     

    Browse

    All of RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    UPT-Teknologi Informasi dan Komunikasi copyright © 2021  Perpustakaan Universitas Jember
    Contact Us | Send Feedback

    Indonesia DSpace Group :

    Repository Universitas Jember
    Repository Institut Pertanian Bogor
    Repository UIN Syarif Hidayatullah Jakarta