Machine learning in medicinal plants recognition: a review-Reference-Cited by-同舟云学术

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Machine learning in medicinal plants recognition: a review

Published:2020-05-12 Issue:1 Volume:54 Page:305-327
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Pushpanathan Kalananthni,Hanafi Marsyita^ORCID,Mashohor Syamsiah^ORCID,Fazlil Ilahi Wan Fazilah^ORCID

Funder

Fundamental Research Grant Scheme

IPS Grant

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-020-09847-0.pdf

Reference97 articles.

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

2. Altemimi A, Lakhssassi N, Baharlouei A, Watson D, Lightfoot D (2017) Phytochemicals: extraction, isolation, and identification of bioactive compounds from plant extracts. Plants 6(4):42. https://doi.org/10.3390/plants6040042

3. Aptoula E, Yanikoglu B (2013) Morphological features for leaf-based plant recognition. In IEEE international conference on image processing. IEEE, Melbourne

4. Arun C, Durairaj D (2017) Identifying medicinal plant leaves using textures and optimal colour spaces channel. Jurnal Ilmu Komputer Dan Informasi 10(1):19. https://doi.org/10.21609/jiki.v10i1.405

5. Arun C, Emmanuel W, Durairaj D (2013) Texture feature extraction for identification of medicinal plants and comparison of different classifiers. Int J Comput Appl 62(12):1–9. https://doi.org/10.5120/10129-4920

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