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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Tomato Crop Disease Detection and Prescription using CNN: Survey Paper
Authors
Rutvij Deo, Aditya Londhe, Harshada Jadhav, Bhushan Thombare
Keywords
CNN, Tomato ,Deep Learning
Abstract
India is the second largest producer of Tomato crops globally. Tomato crops are also cash crops for farmers in India and are extremely water intensive to grow and product. For most farmers many can't afford to let their current crops fall victim to diseases rendering such an intensive investment in failure. Timely detection and accurate diagnosis are essential to control the spread of these diseases and ensure optimal yields. In recent years, deep learning, especially Convolutional Neural Networks (CNNs), has emerged as a powerful tool for plant disease detection from images. This survey provides a detailed overview of CNN-based approaches for tomato crop disease detection, highlighting state-of-the-art techniques, datasets, and challenges. Additionally, it discusses the integration of a prescription system that aides farmers with timely interventions. The paper concludes by exploring the challenges and limitations.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501295
Paper ID - 272112
Page Number(s) - c571-c574
Pubished in - Volume 13 | Issue 1 | January 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rutvij Deo, Aditya Londhe, Harshada Jadhav, Bhushan Thombare, "Tomato Crop Disease Detection and Prescription using CNN: Survey Paper", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.c571-c574, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501295.pdf
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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
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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