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  Published Paper Details:

  Paper Title

DISEASE DETECTION OF COTTON LEAF

  Authors

  Varun Suryawanshi,  Yash Bhamare,  Rahul Badgujar,  Komal Chaudhary,  Mr. Bhushan nandwalkar

  Keywords

Convolution Neural Network, Keras, Tenserflow, MATLAB, Cotton Leaf disease

  Abstract


India is the second-largest in population and many crops Indian farmers can cultivate and Most of the farmers cultivate cotton in large numbers but the cotton leaf disease is the major problem in the past few decades and that results in a loss of crops, their productivity and money as well. The Cotton leaves are affected by the disease named Cercospora, Bacterial blight, Ascochyta blight, and Target spot. General observation by farmers may be time-consuming, expensive and sometimes inaccurate. The Cotton leaf Disease Detection and identifying the disease at an early stage is a very difficult task for the farmers. If the infection or disease on the crops was not identified by the farmers at the initial level then it will be harmful to the crops as well as for farmers

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2011415

  Paper ID - 201068

  Page Number(s) - 3511-3515

  Pubished in - Volume 8 | Issue 11 | November 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Varun Suryawanshi,  Yash Bhamare,  Rahul Badgujar,  Komal Chaudhary,  Mr. Bhushan nandwalkar,   "DISEASE DETECTION OF COTTON LEAF", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.3511-3515, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011415.pdf

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ISSN: 2320-2882
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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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