Paper Title
Using Deep Learning and Machine Learning Techniques for Plant Disease Identification
Article Identifiers
Authors
Gunna Venkata Sai Sumanth , Dr. M Sumender Roy
Keywords
Deep Learning Techniques, Machine Learning Techniques, Plant Disease Identification
Abstract
The critical role of agriculture in sustaining the global population underscores the necessity for innovative solutions to mitigate the impacts of plant diseases, which severely hinder crop yield and quality. This research addresses the pressing need for advanced methodologies in early disease detection by harnessing the power of deep learning, particularly Convolutional Neural Networks (CNNs). Focusing on five plant species—tomato, hibiscus, spinach, mango, and bitter gourd—this study proposes a sophisticated approach that integrates several pivotal stages: image preprocessing, precise image segmentation, feature extraction, and disease classification.
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How To Cite
"Using Deep Learning and Machine Learning Techniques for Plant Disease Identification", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.d429-d441, July-2024, Available :https://ijnrd.org/papers/IJNRD2407325.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : d429-d441
Other Publication Details
Paper Reg. ID: IJNRD_224961
Published Paper Id: IJNRD2407325
Downloads: 000121117
Research Area: Computer EngineeringÂ
Country: Alluri seetharamarju district, Andra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2407325.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407325
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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