Pattern Recognition Using Image Processing

Authors(2) :-Gayathri J, Ramya S

Paddy cultivation plays an important role in agriculture. But the growth of crop is affected by various diseases. If detection of disease is not properly done at earlier stage, then it may result in decrease of paddy production. India is agriculture based country and it provides employment to peoples in rural areas.. The agricultural sector plays major role in development of our economy by providing employment for rural peoples. Paddy is the staple food of Indians and hence it is considered as nationís important product. Crop management is followed to protect paddy plants from fungal and bacterial diseases. The main goal is to develop an image processing system to identify and classify the various diseases affecting the growth of paddy plants. The work is divided into two parts paddy crop disease detection and recognition of paddy crop diseases. Disease detection technique is used to detect the disease affected portion in the paddy plant. The techniques used to detect diseased portions of paddy crop are Boundary localization and Haar-like features methods and neural network is employed based on diseases classification.

Authors and Affiliations

Gayathri J
Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Coimbatore, Tamil Nadu, India
Ramya S
Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Coimbatore, Tamil Nadu, India

Paddy Cultivation, Paddy Crop Diseases, Geometric Properties, PCA, Computed Tomography, Probabilistic Neural Networks, Regression Neural Networks

  1. http://www.codeforge.com/read/237841/detectfeatures.mhtml
  2. http://epubs.surrey.ac.uk/726872/1/Tuytelaars-FGV-2008.pdf
  3. Sandesh Raut, Amit Fulsunge " Plant Disease Detection in Image Processing Using MATLAB" International Journal of Innovative Research in Science, Engineering and Technology, Vol. 6, Issue 6, June 2017.
  4. Revanna Rama Gavade, Sanjeevakumar Ganapati Khichade, Chithra J L, Nayana M C "Leaf Infection Detection And Diagnosis Using Image Processing Technique", Project Reference Number: 38s0895.
  5. https://in.mathworks.com/matlabcentral/fileexchange/55098-plant-leaf-disease-detection-and-classification-using-multiclass-svm-classifier?focused=5974461&tab=function, "Plant Leaf Disease Detection and Classification using Multiclass SVM Classifier",version 1.0 (884 KB) by Manu BN.
  6. R. Uma Rani , P. Amsini "Pest Identification in Leaf Images using SVM Classifier", International Journal of Computational Intelligence and Informatics, Vol. 6: No. 1, June 2016.
  7. 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).
  8. Kamil Dimililera *, Ehsan Kianib "Application of back propagation neural networks on maize plant detection", 9th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception, ICSCCW 2017, 22-23 August 2017, Budapest, Hungary.
  9. T. Rumpf a,∗,1, A.-K. Mahleinb,1, U. Steiner b, E.-C. Oerke b, H.-W. Dehne b, L. Plümer "Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance", Computers and Electronics in Agriculture74 (2010) 91-99.

Publication Details

Published in : Volume 4 | Issue 11 | November-December 2018
Date of Publication : 2018-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 277-282
Manuscript Number : IJSRSET1841080
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Gayathri J, Ramya S, " Pattern Recognition Using Image Processing, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 11, pp.277-282, November-December-2018. Available at doi : https://doi.org/10.32628/IJSRSET1841080
Journal URL : http://ijsrset.com/IJSRSET1841080

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