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An Unique Technique for Grape Leaf Disease Detection

Authors(2):

Prathamesh. K. Kharde, Hemangi. H. Kulkarni
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In this paper the grape fungal diseases are detected and classified according to their features with the help of Digital Image Processing algorithms. An embedded system is used for implementing the image processing application. A plug & play Instrument Raspberry Pi 2 is utilized in multiple applications directly. India being an agro-based economy, farmers experience lots of problems in detecting and preventing diseases in fauna. Due to global warming there is change in environment which affects plants specially diseases which grow on plant. Image processing algorithms such as edge detection, RGB to grayscale conversion,Otsuís algorithm and watershed segmentation are implemented. This device will store input & output files on inbuilt memory cards hence external application can access it using memory address or simple file path. This tool can be used to detect various diseases in grapevine leafs & will show the result as a disease present on leaf along with its name and will suggest the related remedies.

Prathamesh. K. Kharde, Hemangi. H. Kulkarni

Embedded System,;Plug And Play; Raspberry Pi; RGB to Grayscale Conversion; Grape Leaf Disease

  1. Camargo-Rodriguez , A V & Smith , J S 2009 , “An image-processing based algorithm to automatically identify plant disease visual symptoms” Biosystems Engineering,   vol 102,no.1,pp.9-21.,10.1016/j.biosystemseng.2008.09.030.
  2. Husin, Z.B.; Shaka A.Y.B.M.; Aziz, A.H.B.A.; Farook R.B.S.M., "Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques," in Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on , vol., no., pp.291-296, 8-10 Feb. 2012 M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989.
  3. Bashish D., M. Braik and S. Bani-Ahmad, “Detection and classification of leaf diseases using K-means-base segmentation and neural networks basedClassification”.Inform.Technol.J.,10:267-275. DOI:10.3923/itj.2011.267.275,January,2011.
  4. DaeGwan Kim, Jianwei Qin ,Thomas F. Burks, Duke M. Bulanon, “Classification of grapefruit peel diseases using color texture featureb analysis”,International Journal on Agriculture and Biological Engineering, Vol: 2, No: 3, September 2009.
  5. Muhammad Hameed Siddiqi, SuziahSulaiman, Ibrahima Faye and Irshad Ahmad, “A Real Time Specific Weed Discrimination System Using Multi-Level Wavelet Decomposition,” International Journal of Agriculture & Biology, ISSN Print: 15608530; ISSN Online: 1814- 9596
  6. Sabine D. Bauer, FilipKorc, Wolfgang Forstner, “The Potential of Automatic Methods of Classification to identify Leaf diseases from Multispectral images,” Published online: 26 January 2011, Springer Science+Business Media, LLC 2011, Precision Agric, DOI 10.1007/s11119-011-9217-6.
  7. Revathi P., Hemalatha M., "Advance computing enrichment evaluation of cotton leaf spot disease detection using Image Edge detection, 2012 Third International Conference on Computing Communication & NetworkingTechnologies (ICCCNT) pp.1-5, 26-28 July2012 .
  8. Al-Hiary, S. Bani-Ah Mad, M. Reyalat, M. Braik and Z. A L rahamneh, “Fast and Accurate Detection and Classification of Plant Diseases”, IJCA, 2011, 17(1), 31-38, IEEE-2010
  9. Wayne F. Wilcox, Grape disease control2013 Department of Plant Pathology, Cornell University, NY State Agricultural Experiment Station, Geneva NY 14456
  10. Meunkaewjinda, P. Kumsawat, K. Attakitmongcol, and A. Srikaew, “Grape leaf disease detection from color imagery using hybrid intelligent system”, in Proceedings of the 5th International Conference on Electrical Engineering/Electronics Computer, Telecommunications and Information Technology (ECTI-CON '08, IEEE, May 2008, ), pp. 513-516

Publication Details

Published in : Volume 2 | Issue 4 | July-August - 2016
Date of Publication Print ISSN Online ISSN
2016-08-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
343-348 IJSRSET162496   Technoscience Academy

Cite This Article

Prathamesh. K. Kharde, Hemangi. H. Kulkarni, "An Unique Technique for Grape Leaf Disease Detection", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.343-348, July-August-2016.
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