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Reseach Article

A Survey on Approaches Used in Classfication of Leaf Images

by N. Radha, H. Rehana Banu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 19
Year of Publication: 2018
Authors: N. Radha, H. Rehana Banu
10.5120/ijca2018917954

N. Radha, H. Rehana Banu . A Survey on Approaches Used in Classfication of Leaf Images. International Journal of Computer Applications. 182, 19 ( Oct 2018), 33-35. DOI=10.5120/ijca2018917954

@article{ 10.5120/ijca2018917954,
author = { N. Radha, H. Rehana Banu },
title = { A Survey on Approaches Used in Classfication of Leaf Images },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 182 },
number = { 19 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 33-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number19/30043-2018917954/ },
doi = { 10.5120/ijca2018917954 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:11:52.989331+05:30
%A N. Radha
%A H. Rehana Banu
%T A Survey on Approaches Used in Classfication of Leaf Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 19
%P 33-35
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Plants play an important role in the earth’s ecology. Without plants, human lives cannot exists in this world. But in the recent days, people are not having knowledge about many types of valuable plants. They are at the risk of extinction. So, it is necessary to protect plants and to catalogue various types of flora diversities and it is important to maintain plant databases which pave a way towards conservation of earth’s biosphere. In the world wide, there are a huge number of plant species available. To handle such volumes of information, development of a quick and efficient classification tool using machine learning algorithms is needed. In addition to the conservation aspect, recognition of plants paves a way to use those plants as an alternative energy source. In this paper, various techniques used to classify the leaf images using machine learning algorithms are studied.

References
  1. Meeta Kumar, Mrunali Kamble, Shubhada Pawar, Prajakta Patil, Neha Bonde, “Survey on Techniques for Plant Leaf Classification”, International Journal of Modern Engineering Research (IJMER), Vol 1, Issue 2,pp-538-544
  2. N. Valliammal and Dr. S.N Geethalakshmi, “Analysis of the Classification Techniques for Plant Identification through Leaf Recognition” Ciit International Journal of Data Mining Knowledge Engineering, Vol 1, No. 5, August 2009, pp. 239-24
  3. Bhardwaj, M. kaur, “A review on plant recognition and classification techniques using leaf images,” International Journal of Engineering Trends and Technology, Volume 4, Issue 2, 2013
  4. A. Bosch, A. Zisserman, and X. Muoz. Scene classification using a hybrid generative/discriminative approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(4):712 – 727, April 2008.
  5. C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20:273–297, 1995
  6. Javed Hossain, M. Ashraful Amin, “Leaf Shape Identification Based Plant Biometrics”, Proceedings of 13th International Conference on Computer and Information Technology (ICCIT), 2010, pp. 458-463
  7. B. C. Heymans, J. P. Onema, and J. O. Kuti, “A neural network for opuntia leaf-form recognition,” in Proceedings of IEEE International Joint Conference on Neural Networks, 1991
  8. J. Du, D. Huang, X. Wang, and X. Gu, “Shape recognition based on radial basis probabilistic neural network and application to plant species identification,” in Proceedings of 2005 International Symposium of Neural Networks, ser. LNCS 3497. Springer, 2005
  9. M. Z. Rashad, B. S. el-Desouky,and Manal S. Khawasik, “Plants Images Classification Based on Textural Features using Combined Classifier”, International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No. 4, August 2011,pp.93-100.
  10. Sachin D. Chothe , V.R.Ratnaparkhe, “plant identification using leaf images”, International Journal of innovative research in science, engineering and technology(IJIRSET),4(6):659-664,2015
  11. Ehsanirad, A. and Sharath Kumar, Y.H., 2010. Leaf recognition for plant classification using GLCM and PCA methods. Oriental Journal of Computer Science and Technology, 3(1), pp.31-36
  12. D. Wijesingha and F.M.M.T. Marikar,” Automatic Detection System for the Identification of Plants Using Herbarium Specimen Image”, Tropical Agricultural Research Vol. 23 (1): 42 – 50 , 2011.
  13. Pavan Kumar Mishra, Sanjay Kumar Maurya, Ravindra Kumar Singh, Arun Kumar Misra, “A semi-automatic plant identification based on digital leaf and flower Images”, International Conference On Advances In Engineering, Science And Management (ICAESM), 2012, pp. 68-73
  14. Nidheesh P, Aishwarya Rajeev, Nikesh P,”classification of leaf using geometric feature”, International Journal of Engineering Research and General Science Volume 3, Issue 2, March-April, 2015, ISSN 2091-2730
  15. Abdul Kadir, Lukito Edi Nugroho, and Paulus Insap Santosa, “Leaf classification using shape, color, and texture”, International Journal of Computer Trends & Technology (IJCTT), July-August 2011,pp.225-230.
  16. C. S. Sumathi and A. V. Senthil Kumar, “Edge and Texture Fusion for Plant Leaf Classification”, International Journal of Computer Science and Telecommunications, Vol 3, Issue 6, June 2012,pp. 6-9.
  17. T. Beghin, J. S. Cope, P. Remagnino, & S. Barman, “Shape and texture based plant leaf classification”, Advanced Concepts for Intelligent Vision Systems (ACVIS),Vol 6475,2010,pp.45-353.
  18. C. H. Arun, W. R. Sam Emmanuel, and D. Christopher Durairaj, “Texture Feature Extraction for Identification of Medicinal Plants and Comparison of Different Classifiers”, International Journal of Computer Applications (0975-8887), Vol 62,No.12,January 2013, pp.1-9.
  19. T. Beghin, J. S. Cope, P. Remagnino, & S. Barman, “Shape and texture based plant leaf classification”, Advanced Concepts for Intelligent Vision Systems (ACVIS),Vol 6475,2010,pp.45-353.
  20. Jyotismita Chaki and Ranjan Parekh, “Designing an Automated System for Plant Leaf Racognition”, International Journal of Advances in Engineering & Technology, Vol 2, Issue 1, Jan 2012,pp. 149-158
  21. Vishakha Metre, Jayshree Ghorpade,” An Overview of the Research on Texture Based Plant Leaf classification”, IJCSN International Journal of Computer Science and Network, Vol 2, Issue 3, 2013, ISSN (Online): 2277-5420.
  22. J. Chaki, and R. Parekh, “Plant leaf recognition using Gabor filter,” International Journal of Computer Applications Volume 56, No.10, October 201
Index Terms

Computer Science
Information Sciences

Keywords

Machine learning algorithms Feature extraction Leaf classification.