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  Published Paper Details:

  Paper Title

Paper On Plant Disease Detection

  Authors

  Achal tiwari,  Aniket Malpure,  Harshvardhan Urane

  Keywords

Convolutional Neural Networks, Deep Learning, Plant Disease Detection, Gray-level Concurrence Matrix, Support Vector Machine, Discrete Wavelet Transform ,Recurrent Neural Network ,Deep Belief Network ,Deep Boltzmann Machine ,Passive Infrared ,Miniature Circuit Breaker ,Artificial Neural Network

  Abstract


Plant diseases are becoming more common, which poses a serious risk to the sustainability of agriculture and global food security. The prevention of crop losses and the reduction of pesticide use both depend critically on the early and precise detection of plant diseases. Deep learning methods, such Convolutional Neural Networks (CNNs), have recently displayed astounding performance in a variety of image identification tasks. In this study, leaf pictures are used to train CNNs for the identification and categorization of plant illnesses. The suggested method entails a multi-step procedure that begins with a vast dataset collection of healthy and diseased plant leaves that includes a variety of diseases.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5065

  Paper ID - 238043

  Page Number(s) - i747-i750

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Achal tiwari,  Aniket Malpure,  Harshvardhan Urane,   "Paper On Plant Disease Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.i747-i750, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5065.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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