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  Published Paper Details:

  Paper Title

PLANT DISEASE IDENTIFICATION USING SVM

  Authors

  Krushna Sonar,  Anushri Angaitkar,  Sakshi Sarode,  Shreni Chavhan,  Pratiksha Harshe

  Keywords

Diseases,SVM algorithm,vegetation

  Abstract


ABSTRACT--- Tomato is Indian crops for rural humans to make income. These crops are contaminated with many diseases. Our main goal is to detect the sickness that is infected by the crop and take precautions to protect the crop before it spreads over the complete crop. By doing in this way, there is less loss to the farmers and requires less pesticides and additionally viable to export which no longer have an effect on our monetary growth. At finally, we test the leaves and identify the sickness and shift those records to the farmer through message. Here, take the leaves of the tomato pick out the disease with the aid of using SVM in order to find efficient result and accuracy. To predict the illnesses in early stage and take precautions and keep the vegetation leads to extend in production and income.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2203059

  Paper ID - 216514

  Page Number(s) - a430-a437

  Pubished in - Volume 10 | Issue 3 | March 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Krushna Sonar,  Anushri Angaitkar,  Sakshi Sarode,  Shreni Chavhan,  Pratiksha Harshe,   "PLANT DISEASE IDENTIFICATION USING SVM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.a430-a437, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203059.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


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