Paper Title
CROPVISION.AI: INNOVATION-POWERED PRECISION MONITORING AND DISEASE PREDICTION FOR ENHANCED CROP HEALTH.
Article Identifiers
Authors
Dr. A Anusha , Aditya Dhanraj Shivkar , Shaik Asad , Jada Kashinath
Keywords
VGG16, ResNet50, ResNet101, MobileNet, InceptionV3, and DenseNet-201
Abstract
The backbone of global food security, rice nourishes over half the world's population. However, traditional rice farming methods face numerous challenges, including disease outbreaks that significantly impact yield and quality. To address these issues, we present a groundbreaking approach that leverages the power of artificial intelligence (AI) and drone technology to simplify rice farming and empower farmers.
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How To Cite
"CROPVISION.AI: INNOVATION-POWERED PRECISION MONITORING AND DISEASE PREDICTION FOR ENHANCED CROP HEALTH.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.g259-g265, March-2024, Available :https://ijnrd.org/papers/IJNRD2403630.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : g259-g265
Other Publication Details
Paper Reg. ID: IJNRD_216175
Published Paper Id: IJNRD2403630
Downloads: 000121142
Research Area: Engineering
Country: Hyderabad, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403630.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403630
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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
Publisher: IJNRD (IJ Publication) Janvi Wave
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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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