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  Published Paper Details:

  Paper Title

PLANT DISEASE IDENTIFICATION USING ML

  Authors

  Smita Unnikrishnan,  Sreeya A Y,  Niveditha T G,  Aliya Nazeer,  Haneena Najeeb

  Keywords

Machine Learning, CNN, Image processing

  Abstract


Agriculture have a vital role in our day nowadays life. currently the population has increased and it additionally increased the demand for food. therefore it's necessary to extend the production of crops. For higher production of crops the plants ought to be well grown and guarded from diseases. Manual identification of disease isn't potential for giant scale farmers all the time because it is time consuming and want a lot of labours for that. Diseases are often simply detected by applying machine learning. By applying machine learning technique we are able to establish the disease that's affected to the leaf, stem, root and fruits. pictures captured using mobile camera are processed with image processing technique. The features are extracted from the disease affected half and it can be classified by machine learning technique like Convolutional Neural Network(CNN). An application that may predict the disease affected to the plant and potential precautions to avoid the disease are developed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105963

  Paper ID - 207917

  Page Number(s) - j11-j16

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Smita Unnikrishnan,  Sreeya A Y,  Niveditha T G,  Aliya Nazeer,  Haneena Najeeb,   "PLANT DISEASE IDENTIFICATION USING ML", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.j11-j16, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105963.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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