Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Shashidhar THalakatti, &Halakatti. (2017).Identification Of Iris Flower Species Using Machine Learning” International Journal of Computer Science (IIJCS) ISSN 2321-5992 Volume 5, Issue 8.
    2.  Huthaifa A. , S. Manaseer&H. Hiary, (2018). A Flower Recognition System Based On Image Processing And Neural Networks”, International Journal Of Scientific & Technology Research Volume 7, Issue 11.
    3. Prabira K S, B. Routray & S.K. Behera,(2019).Detection and Counting of Marigold Flower Using Image Processing Technique”, Springer Nature Singapore Pvt. Ltd.
    4. Musa C., U. Budak, Y. Guo, M. Cevdet& A. Sengur. (2019).Efficient Deep Features Selections and Classification for Flower Species Recognition. IEEE Measurement S0263- 2241(19)30028-4.
    5. Lin S, Z. Li & D. Song.(2019).A Flower AutoRecognition System Based on Deep Learning. IOP Conf. Series: Earth and Environmental Science 1755-1315.
    6. Jyothi V, Ka, D S Guru, &S Kumar. (2018). Deep Learning for Retrieval of Natural Flower Videos. ELSEVIER, International Conference on Computational Intelligence and Data Science (ICCIDS 2018), Procedia Computer Science 132 1533–1542.
    7.  Hazem H, H. Saadeh.; M. Saadeh &M. Yaqub.(2018).Flower classification using deep convolutional neural networks. The Institution of Engineering and Technology, Volume 12, Issue 6, ISSN 1751-9632

    1. Shashidhar THalakatti, &Halakatti. (2017).Identification Of Iris Flower Species Using Machine Learning” International Journal of Computer Science (IIJCS) ISSN 2321-5992 Volume 5, Issue 8.
    2.  Huthaifa A. , S. Manaseer&H. Hiary, (2018). A Flower Recognition System Based On Image Processing And Neural Networks”, International Journal Of Scientific & Technology Research Volume 7, Issue 11.
    3. Prabira K S, B. Routray & S.K. Behera,(2019).Detection and Counting of Marigold Flower Using Image Processing Technique”, Springer Nature Singapore Pvt. Ltd.
    4. Musa C., U. Budak, Y. Guo, M. Cevdet& A. Sengur. (2019).Efficient Deep Features Selections and Classification for Flower Species Recognition. IEEE Measurement S0263- 2241(19)30028-4.
    5. Lin S, Z. Li & D. Song.(2019).A Flower AutoRecognition System Based on Deep Learning. IOP Conf. Series: Earth and Environmental Science 1755-1315.
    6. Jyothi V, Ka, D S Guru, &S Kumar. (2018). Deep Learning for Retrieval of Natural Flower Videos. ELSEVIER, International Conference on Computational Intelligence and Data Science (ICCIDS 2018), Procedia Computer Science 132 1533–1542.
    7.  Hazem H, H. Saadeh.; M. Saadeh &M. Yaqub.(2018).Flower classification using deep convolutional neural networks. The Institution of Engineering and Technology, Volume 12, Issue 6, ISSN 1751-9632

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