Author : Miss. Tanjeem. N. Shaikh 1
Date of Publication :14th August 2017
Abstract: India is an agricultural country where most peoples in the India are farmers. Economically agricultural field is very much important. The crops are affected by uneven climatic conditions, Because of that diseases on plant is increased and agriculture yield is decreased. Which restrict the growth of plant and quality and quantity of plant also reduces. Now days, the conditions become worst because of bacterial diseases. Detection of diseases and prevention is much more needed for that modern agriculture techniques and systems are designed. The studies of the pomegranate plant diseases mean the studies of visually observable patterns seen on the plant. It is very difficult to monitor the pomegranate plant diseases manually. Hence, image processing is used for the detection of pomegranate plant diseases. Image processing is best way for detecting and diagnosis the diseases. Disease detection involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. K-means clustering algorithm is used for segmentation and support vector machine is used for classification of disease.
 S. S. Sannakki, V. S. Rajpurohit,” Classification of Pomegranate Diseases Based on Back Propagation Neural Network”, International Journal of Advance Foundation and Research in Computer (IJAFRC) Volume 2, Special Issue (NCRTIT 2015), January 2015.
 Shivaputra S. Panchal1, Rutuja Sonar,” Pomegranate Leaf Disease Detection Using Support Vector Machine”, International Journal of Engineering and Computer Science ISSN: 2319-7242 Volume 5 Issues 6 June 2016, Page No. 16815-16818
 Amar Kumar Dey, Manisha Sharma, M.R. Meshram,” Image Processing Based n Computational Modeling and Security (CMS 2016) Procedia Computer Science 85 (2016) Page No. 748 – 754
 Jayme Garcia Arnal Barbedo,” A review on the main challenges in automatic plant disease identification based on visible range images”, Biosystems engineering 144(2016) Page No. 52-60.
 Manisha Bhange, H.A. Hingoliwala,” Smart Farming: Pomegranate Disease Detection Using Image”, Second International Symposium on Computer Vision and the Internet (VisionNet’15), Procedia Computer Science 58 (2015) Page No. 280 – 288.
 Manisha A. Bhange,” Detection of Bacterial Blight on Pomegranate Leaf”, International Journal on Recent and Innovation Trends in Computing and Communication. Volume: 3 Issue: 6 (2015) Page No. 3682 – 3685
 Roberto Oberti, Massimo Marchi, Paolo Tirelli, Aldo Calcante, Marcello Iriti, Alberto N. Borghese,” Automatic detection of powdery mildew on grapevine leaves by image analysis: Optimal view-angle range to increase the sensitivity”, Computers and Electronics in Agriculture 104 (2014) Page No. 1–8
 Jianlun Wang, Jianlei He, Yu Han, Changqi Ouyang, Daoliang Li,” An Adaptive Thresholding algorithm of field leaf image”, Computers and Electronics in Agriculture 96 (2013) Page No.23–39
 S. Phadikar, J. Sil, and A. K. Das,” Classification of Rice Leaf Diseases Based on Morphological Changes”, International Journal of Information and Electronics Engineering, Vol. 2, No. 3, May 2012
 T. Rumpf, A.K. Mahlein, U. Steiner, E. C. Oerke, H.W. Dehne, L. Plumer,” Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance”,2010
 Khot. S. T, Patil Supriya, Mule Gitanjali, Labade Vidya, “Pomegranate Disease Detection Using Image Processing Techniques” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 5, Issue 4, April 2016.
 Sushil R. Kamlapurkar, “Detection of plant leaf disease using image processing approach” International Journal of Scientific and Research Publications, Volume 6, Issue 2, February 2016
 Manisha A. Bhange, Prof. H. A. Hingoliwala, “A Review of Image Processing for Pomegranate Disease Detection” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (1). 2015.
 Niket Amoda, Bharat Jadhav, Smeeta Naikwadi,” Detection and Classification of Plant Diseases by Image Processing”, (IJISET) International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 2, April 2014. Page No. 70-74.
 Savita N. Ghaiwat, Parul Arora,” Detection and Classification of Plant Leaf Diseases Using Image Processing Techniques: A Review”, International Journal of Recent Advances in Engineering & Technology (IJRAET), Volume-2, Issue - 3, 2014