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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 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
ENHANCING AGRICULTURE WITH MACHINE LEARNING: LEAF DISEASE DIAGNOSIS
Authors
Chinnapaga Ganesh, Dr. K Shanthi Sree
Keywords
Image analysis, Semi-Supervised Approaches, Crop Species Classification, Disease Identification.
Abstract
One area that significantly affects people's quality of life and financial situation is agriculture. Poor management causes agricultural goods to be lost. This method uses a deep neural network, an alternative to a regular neural network, to identify leaf diseases. This makes it simple to identify leaf disease. The user can upload a picture of a leaf first, and the image will be uploaded on the screen. Next, click the button to analyse the image. A leaf's state of health can be determined by the disease and shown. The leaf image shows the presence of the illness. Utilizing an accessible dataset of 1500 images of solid and ill plants, this work characterizes crop species and determines the disease status of three different groups using deep convolutional systems and semi-supervised approaches.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A6063
Paper ID - 264748
Page Number(s) - j559-j567
Pubished in - Volume 12 | Issue 6 | June 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Chinnapaga Ganesh, Dr. K Shanthi Sree, "ENHANCING AGRICULTURE WITH MACHINE LEARNING: LEAF DISEASE DIAGNOSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.j559-j567, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A6063.pdf
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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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