Indian Plant Recognition System Using Convolutional Neural Network
DOI:
https://doi.org/10.26438/ijcse/v7i6.276280Keywords:
Indian leaf, Plant Recognition, Machine Learning, Deep Learning, VGG 16Abstract
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%.
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.
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