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  Published Paper Details:

  Paper Title

Crop blight Identification and analysis using deep learning techniques

  Authors

  Mrs.N.Fathima Shrene Shifna,  Mrs..B.vyshnavi,  Mr.B.Madhusudhan,  Mr.Ch.Vinayreddy,  Mr.Ch.Abhishek

  Keywords

Crop blight identification, deep learning

  Abstract


Plants become the only important supply of energy. Global warming trouble. Rising damage, rebound and Local pathogens are important to plant structures and result in ability damage. In addition to financial benefits, illnesses directly or not directly make contributions to vegetation. Spread of infectious human sicknesses and environmental harm. With those sicknesses. Spread all around the international, the impairment of the everyday functioning of the plant and the enormous discount in numbers is damaging to the monetary situation. Crops lose their quality due to various sicknesses. Sometimes they arise, but they may be invisible even to the naked eye. Farmer tax. Diseases are in use, however it is cultivated within the wrong way. More and more ways to feed humans are increasing daily. It may be very It is vital that greater than 70% of human beings in India rely upon agriculture. This approach lots of people are enthusiasts. Plant diseases affect human beings. Directly or circuitously about health or maybe financially. To perceive those diseases. Work velocity is automated manner. Diseases are exposed thru various virtual photos in useful methods. In this newsletter we've explored various digital technology. A diagram of the plant disease identity method.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A3135

  Paper ID - 254354

  Page Number(s) - j606-j610

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mrs.N.Fathima Shrene Shifna,  Mrs..B.vyshnavi,  Mr.B.Madhusudhan,  Mr.Ch.Vinayreddy,  Mr.Ch.Abhishek,   "Crop blight Identification and analysis using deep learning techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.j606-j610, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A3135.pdf

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


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