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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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Paper Title
TOMATO PLANT DISEASE PREDICTION USING DEEP LEARNING
Authors
Gayatri Jadhav, Gunjal Roshani, Tuplondhe Rakesh, Sayali Yadav, Dr.Rokade P.P.
Keywords
Deep learning, Convolutional Neural Network (CNN), Transfer learning,Image Preprocessing, Tomato leaf disease, Early detection, Web application, Agricultural productivity.
Abstract
This study has been undertaken to the development of a deep learning-based system for predicting tomato leaf diseases, which are particularly significant in the agricultural industry due to the crop's high commercial value and contribution to food security. The proposed system utilizes a deep convolutional neural network (CNN) with transfer learning. The system determines plant health and predicts the specific disease if present.
IJCRT's Publication Details
Unique Identification Number - IJCRT2403093
Paper ID - 252228
Page Number(s) - a748-a753
Pubished in - Volume 12 | Issue 3 | March 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Gayatri Jadhav, Gunjal Roshani, Tuplondhe Rakesh, Sayali Yadav, Dr.Rokade P.P., "TOMATO PLANT DISEASE PREDICTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.a748-a753, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403093.pdf
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Volume 12 | Issue 7
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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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