Comparative Study on Classification Algorithms for Plant Leaves Disease Detection

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-60 Number-2
Year of Publication : 2018
Authors : S.Dhivya, Dr.R.Shanmugavadivu
  10.14445/22312803/IJCTT-V60P118

MLA

S.Dhivya, Dr.R.Shanmugavadivu "Comparative Study on Classification Algorithms for Plant Leaves Disease Detection". International Journal of Computer Trends and Technology (IJCTT) V60(2):115-119 June 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract
Image Segmentation is one of the important research areas in plant leaf disease detection. Many researchers proposed several methods in the field of agricultural area for segmenting the leaf diseases. The plant leaves are affected mostly by fungi, bacteria and viruses. When the one part of the leaf is attacked and the other part of the leaf is also infected. Here, the main task is the detection of various Leaf diseases in plant leaves. This paper proposed an algorithm for image segmentation which is used for detection and classification of plant leaf diseases. It also surveys various leaf diseases and classification techniques that are used for leaf disease detection. Image Segmentation is one of the important feature for detecting the diseases in plant leaf diseases is done by using K nearest neighbor, Support Vector Machine (SVM) and Probabilistic Neural Network (PNN).

Reference
[1] Z. Miao, M.-H. Gandelin, and B. Yuan, “An oopr-based rose variety recognition system,” Engineering Applications of Artificial Intelligence, vol. 19, 2006.
[2] J.-X. Du, X.-F. Wang, and G.-J. Zhang, “Leaf shape based plant species recognition,” Applied Mathematics and Computation, vol. 185, 2007.
[3] X. Gu, J.-X. Du, and X.-F. Wang, “Leaf recognition based on the combination of wavelet transform and gaussian interpolation,” in Proceedings of International Conference on Intelligent Computing 2005, ser. LNCS 3644. Springer, 2005.
[4] X.-F. Wang, J.-X. Du, and G.-J. Zhang, “Recognition of leaf images based on shape features using a hypersphere classifier,” in Proceedings of International Conference on Intelligent Computing 2005, ser. LNCS 3644. Springer, 2005.
[5] Ajay A. Gurjar, Viraj A. Gulhane,” Disease Detection On Cotton Leaves by Eigenfeature Regularization and Extraction Technique”, International Journal of Electronics, Communication & Soft Computing Science and Engineering(IJECSCSE)Volume 1, Issue 1.
[6] Tushar H Jaware, Ravindra D Badgujar and Prashant G Patil,” Crop disease detection using image segmentation”, Proceedings of "Conference on Advances in Communication and Computing (NCACC'12)”, April 21, 2012.
[7] D. F. Specht, “Probabilistic neural networks,” Neural Networks, vol. 3, 1990.
[8] T. Master, Practical Neural Network Recipes. New York: John Wiley, 1993.
[9] Meeta Kumar, Mrunali Kamble, Shubhada Pawar, Prajakta Patil, Neha Bonde, “Survey on Techniques for plant Leaf Classification”, International Journal of Modern Engineering Research, Volume 1, Issue 2.
[10] J.Jeya Priyankha and K.Suresh kumar, “Crop Disease Identification Using a Feature Extraction HOG Algorithm”, Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 3, Pages 35-39, April 2017
[11] S. W. Zhang* Y. J. Shang and L. Wang, ” Plant Disease Recognition Based On Plant Leaf Image”, The Journal of Animal & Plant Sciences, 25 (3Suppl. 1) 2015 Special Issue Page:42-45 ISSN: 1018-7081.
[12] Abdul Kadir, Lukito Edi Nugroho, Adhi Susanto, Paulus Insap Santosa, “Leaf Classification Using Shape, Color, and Texture Features”, International Journal of Computer Trends and Technology- July to Aug Issue 2011.
[13] Lakhvir Kaur, Dr. Vijay Laxmi, “A Review on Plant Leaf Classification and Segmentation”, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 5 Issue 8 August 2016 Page No. 17658-17661.
[14] ManishaAmlekar, Dr. Ramesh R Manza, Dr. Pravin Yannawar and Dr. Ashok T Gaikwad, “Leaf Features Based Plant Classification Using Artificial Neural Network”, IBMRD's Journal of Management and Research, Print ISSN: 2277-7830, Online ISSN: 2348-5922.
[15] Jayamala K. Patil , Raj Kumar, “Advances In Image Processing For Detection Of Plant Diseases”, Journal of Advanced Bioinformatics Applications and Research ISSN 0976-2604 Vol 2, Issue 2, June-2011, pp 135-141.
[16] Sharada P. Mohanty, David P. Hughes and Marcel Salathe, “Using Deep Learning for Image-Based Plant Disease Detection”, Frontiers in Plant Science, Volume 7, September 2016.
[17] Krishna singh, Dr.Indira Gupta and Dr. Sangeetha Gupta, Retrivel and classification of leaf shape by support vector machine using binary decision tree, probabilistic neural network and genetic fourier moment technique: a comparative study, IADIS International Conferences Computer Grapics, Visualization, Computer Vision and Image Processing 2010.

Keywords
Image segmentation, Plant Leaf Diseases, K nearest neighbor and Support Vector Machine (SVM) and Probabilistic Neural Network (PNN).