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  Published Paper Details:

  Paper Title

PLANT LEAF DISEASE DETECTION USING DEEP LEARNING

  Authors

  Gandham Harish,  Goli Sai Charan,  Kotipally Praveen Kumar,  Dr. B. Laxmaiah,  Dr. Suwarna Gothane

  Keywords

deep learning, classification, CNN algorithm, disease identification

  Abstract


Plant disease is ongoing challenge for smallholder formers, which threatens income and food security. The recent revolution smartphone penetration and computer vision models has created an opportunity for image classification in agriculture. Convolutional Neural Networks(CNN) algorithm is considered state-of-the-art in image recognition and offer the ability to provide a prompt and definite diagnosis. It analyze the data of leaf image and send the output as either it is good leaf it shows healthy and disease leaf shows the name of the disease.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106092

  Paper ID - 208055

  Page Number(s) - a647-a658

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Gandham Harish,  Goli Sai Charan,  Kotipally Praveen Kumar,  Dr. B. Laxmaiah,  Dr. Suwarna Gothane,   "PLANT LEAF DISEASE DETECTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.a647-a658, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106092.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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