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  Published Paper Details:

  Paper Title

A Survey on Plant Disease Detection using Support Vector Machine

  Authors

  Oruganti Ramya Teja

  Keywords

Accurate,Acquisition, Segmentation, Support Vector Machine.

  Abstract


Agriculture is an important source of livelihood and Indian economy depends on agricultural production. It is important to detect the plant leaf diseases at early stage to increase the crop yield and profit. Image processing technique is used to detect the leaf diseases accurately since naked eye observation of the diseases does not provide accurate result all the time especially during the early stage. It was done in five phases which are image acquisition, preprocessing of the acquired image, feature extraction, classification of the diseases and displaying the result. This paper provides a detailed survey about classification of the agricultural diseases by using Support Vector Machine classifier.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2308781

  Paper ID - 243502

  Page Number(s) - h22-h26

  Pubished in - Volume 11 | Issue 8 | August 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Oruganti Ramya Teja,   "A Survey on Plant Disease Detection using Support Vector Machine", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 8, pp.h22-h26, August 2023, Available at :http://www.ijcrt.org/papers/IJCRT2308781.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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