an efficient framework for identification and classification of pomegranate fruit diseases using deep learning models with optimization techniques

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/421197

Title:	an efficient framework for identification and classification of pomegranate fruit diseases using deep learning models with optimization techniques
Researcher:	Vasumathi M T
Guide(s):	Kamarasan M
Keywords:	Physical Sciences Multidisciplinary Multidisciplinary Sciences
University:	Annamalai University
Completed Date:	2022
Abstract:	newline
Pagination:
URI:	http://hdl.handle.net/10603/421197
Appears in Departments:	Department of Computer and Information Science

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File	Description	Size	Format
001 title.pdf	Attached File	32.98 kB	Adobe PDF	View/Open
002 certificate.pdf		69.46 kB	Adobe PDF	View/Open
003 declaration.pdf		71.7 kB	Adobe PDF	View/Open
004 acknowledment.pdf		72.04 kB	Adobe PDF	View/Open
005 abstract.pdf		18.69 kB	Adobe PDF	View/Open
006 table of contents.pdf		67.65 kB	Adobe PDF	View/Open
007 chapter - 1.pdf		2.52 MB	Adobe PDF	View/Open
008 chapter - 2.pdf		2.41 MB	Adobe PDF	View/Open
009 chapter - 3.pdf		2.35 MB	Adobe PDF	View/Open
010 chapter - 4.pdf		2.38 MB	Adobe PDF	View/Open
011 chapter - 5.pdf		2.35 MB	Adobe PDF	View/Open
012 chapter - 6.pdf		2.4 MB	Adobe PDF	View/Open
013 chapter - 7.pdf		2.17 MB	Adobe PDF	View/Open
014 references.pdf		2.42 MB	Adobe PDF	View/Open
015 publications.pdf		2.15 MB	Adobe PDF	View/Open
016 paper.pdf		2.96 MB	Adobe PDF	View/Open
80_recommendation.pdf		2.17 MB	Adobe PDF	View/Open

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