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Indian Plant Recognition System Using Convolutional Neural Network

Deepali Naglot1 , Prachi Sandeep Kasliwal2 , Swati Jayaji Gaikwad3 , Nisha Deepak Agrawal4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 276-280, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.276280

Online published on Jun 30, 2019

Copyright © Deepali Naglot,Prachi Sandeep Kasliwal, Swati Jayaji Gaikwad, Nisha Deepak Agrawal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Deepali Naglot,Prachi Sandeep Kasliwal, Swati Jayaji Gaikwad, Nisha Deepak Agrawal, “Indian Plant Recognition System Using Convolutional Neural Network,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.276-280, 2019.

MLA Style Citation: Deepali Naglot,Prachi Sandeep Kasliwal, Swati Jayaji Gaikwad, Nisha Deepak Agrawal "Indian Plant Recognition System Using Convolutional Neural Network." International Journal of Computer Sciences and Engineering 7.6 (2019): 276-280.

APA Style Citation: Deepali Naglot,Prachi Sandeep Kasliwal, Swati Jayaji Gaikwad, Nisha Deepak Agrawal, (2019). Indian Plant Recognition System Using Convolutional Neural Network. International Journal of Computer Sciences and Engineering, 7(6), 276-280.

BibTex Style Citation:
@article{Naglot_2019,
author = {Deepali Naglot,Prachi Sandeep Kasliwal, Swati Jayaji Gaikwad, Nisha Deepak Agrawal},
title = {Indian Plant Recognition System Using Convolutional Neural Network},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {276-280},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4542},
doi = {https://doi.org/10.26438/ijcse/v7i6.276280}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.276280}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4542
TI - Indian Plant Recognition System Using Convolutional Neural Network
T2 - International Journal of Computer Sciences and Engineering
AU - Deepali Naglot,Prachi Sandeep Kasliwal, Swati Jayaji Gaikwad, Nisha Deepak Agrawal
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 276-280
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

Plants plays important role in our lives, as it provides us food and oxygen which is needed by all living things. There are thousands of kinds of trees in this world, and it is very difficult to distinguish between them. Experts can however identify by using characteristics of leaves but a common man cannot. Recognition of Plant from images is a challenging computer vision task. Proposed System is deployed to classify Indian local leaves automatically using deep learning. Deep Learning is a self-learning technique used for massive data and recent development in hardware and big data have turned out as a blessing. We have considered 10 different Indian plants leaves. Recognition rate of proposed system is 93%.

Key-Words / Index Term

Indian leaf, Plant Recognition, Machine Learning, Deep Learning, and VGG 16

References

[1] James S.Copea ,DavidCorney ,Jonathan Y.Clark ,PaoloRemagninoa and Paul Wilkinc, “Plant species identification using digital morphometrics: A review”Expert Systems with Applications Volume 39, Issue 8, 15 June 2012
[2] Neeraj Kumar ,Peter N Belhumeur, Arijit Biswas, David W Jacobs, W John Kress, Ida C Lopez and Joao VB Soraes “Leafsnap: A Computer Vision System for Automatic Plant Species Identification”,inECCV,pp 502-516. Springer,2012
[3] JyotismitaChaki, Ranjan Parekh, Samar Bhattacharya, “Plant Leaf Recognition Using a Layered Approach” , 978-1-4673-6621-2/16/$31.00 © 2016IEEE
[4] T L I Sugata and C K Yang ,”Leaf App: Leaf recognition with deep convolutional neural networks” ,IOP Conference Series: Materials Science and Engineering, Volume273.
[5] Aparajita Sahay and Min.”Leaf Analysis for Plant Recognition”, 978-1-4673-9904-3/16/$31.00 ©2016IEEE
[6] .H.Rankothge , D.M.S.B Dissanayake, U.V.K.T Gunathilaka, S.A.C.M Gunarathna, C.M Mudalige and R.P, PlantRecognitionSystemBasedonNeuralNetworks”,
ICATE 2013
[7] Bin Wang,, Douglas Brown, Yongsheng Gao, John La Salle, “Mobile Plant Leaf Identification using smartphones”, 978-1-4799-2341-0/13/$31.00 ©2013IEEE
[8] Wang-Su Jeon, and Sang-Yong Rhee, “Plant Leaf Recognition Using a Convolution Neural Network”, I nt. J. Fuzzy Log. Intell. Syst. 2017;17(1):26-34 published online March 31,20
[9] Du, JX, Wang, XF, and Zhang, GJ (2007). “Leaf shape based plant species recognition”. Applied Mathematics and Computation..Volume 185, Issue 2, 15 February 2007, Pages 883-893
[10] Deepali Naglot, Milind Kulkarni “Real Time Sign Language Recognition using the Leap Motion Controller”, 2016 International Conference on Inventive Computation Technologies (ICICT),26-27 Aug.2016
[11] R. Priyadharshini, G. B. Nivetha, G. Kausalya, P. Anantha Prabha , "Fungus Detection using Convolutional Neural Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5 Issue 2, pp. 205-209, March-April 2019.
[12] Prashant Udawant, Atul Patidar, Abhijeet Singh, Atyant Yadav, "Comparative Study of Artificial Intelligence Techniques for Image Classification", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456- 3307, Volume 5 Issue 2, pp. 904-910, March-April 2019.