Plant species identification using leaf biometrics and swarm optimization: A hybrid PSO, GWO, SVM model-Reference-Cited by-同舟云学术

Plant species identification using leaf biometrics and swarm optimization: A hybrid PSO, GWO, SVM model

Published:2018-03-26 Issue:3 Volume:14 Page:155-165
ISSN:1448-5869
Container-title:International Journal of Hybrid Intelligent Systems
language:
Short-container-title:HIS

Author:

Eid Heba F.¹,Abraham Ajith²

Affiliation:

1. Faculty of Science, Al-Azhar University, Cairo, Egypt

2. Machine Intelligence Research Labs, MIR Labs, Auburn, WA, USA

Publisher

IOS Press

Reference28 articles.

1. S. Fiel and R. Sablatnig, Automated identification of tree species from images of the bark, leaves and needles, in: Proc. In. 16th Computer Vision Winter Workshop, Mitterberg, Austria, 2011, pp. 1–6.

2. Classification of plant leaf images with complicated background;Wang;Applied Mathematics and Computation,2008

3. Analysis of the classification techniques for plant identification through leaf recognition;Valliammal;Int. J. of Data Mining Knowledge Engineering,2009

4. Plant species identification using digital morphometrics: A review;Cope;Expert Syst Appl,2012

5. Comparison of leaf recognition by moments and fourier descriptors;Suk;Computer Analysis of Images and Patterns Lecture Notes in Computer Science,2013

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