MediNET: A Deep Learning Approach to Recognize Bangladeshi Ordinary Medicinal Plants Using CNN-Reference-Cited by-同舟云学术

MediNET: A Deep Learning Approach to Recognize Bangladeshi Ordinary Medicinal Plants Using CNN

Published:2020-11-28 Issue: Volume: Page:371-380
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Bhuiyan Md. Rafiuzzaman,Abdullahil-Oaphy Md.,Khanam Rifa Shanzida,Islam Md. Sanzidul

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7394-1_35

Reference14 articles.

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2. pharmabiz.com/ArticleDetails.aspx?aid=77992&sid=21. Last accessed 23 Nov 2019

3. Kumar, S.: Leaf color, area and edge features based approach for identification of Indian medicinal plants (2012)

4. Kumar, N.: Leafsnap: a computer vision system for automatic plant species identification. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) Computer Vision—ECCV (ECCV 2012). Lecture Notes in Computer Science, vol. 7573. Springer, Berlin (2012)

5. Aakif, A., Khan, Muhammad: Automatic classification of plants based on their leaves. Biosyst. Eng. 139, 66–75 (2015). https://doi.org/10.1016/j.biosystemseng.2015.08.003

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