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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
LEAF DISEASE DETECTION USING MACHINE LEARNING
Authors
Nikhil Yamali, Grace Asha Roy Ijjini
Keywords
Leaf disease Detection, Crop Management, CNN, Image Recognition
Abstract
Leaf disease detection is an important task in crop management and can be done with the help of Convolutional Neural Networks (CNNs). CNNs are a type of artificial neural network designed specifically for image recognition tasks such as detecting patterns in images. In this paper, we propose a CNN-based method for plant disease detection which uses an available dataset to extract features from an image of a plant and then classifies it into one or more disease classes. We also found that our model was able to accurately identify subtle differences between diseased plants compared to healthy ones - something traditional methods were not capable of doing on their own. The proposed method can be used for real-time use in crop management as it helps reduce crop loss and increase yields by detecting diseases early before they spread further.
IJCRT's Publication Details
Unique Identification Number - IJCRT2408298
Paper ID - 267454
Page Number(s) - c711-c717
Pubished in - Volume 12 | Issue 8 | August 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Nikhil Yamali, Grace Asha Roy Ijjini, "LEAF DISEASE DETECTION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 8, pp.c711-c717, August 2024, Available at :http://www.ijcrt.org/papers/IJCRT2408298.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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