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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001 title.pdfAttached File32.98 kBAdobe PDFView/Open
002 certificate.pdf69.46 kBAdobe PDFView/Open
003 declaration.pdf71.7 kBAdobe PDFView/Open
004 acknowledment.pdf72.04 kBAdobe PDFView/Open
005 abstract.pdf18.69 kBAdobe PDFView/Open
006 table of contents.pdf67.65 kBAdobe PDFView/Open
007 chapter - 1.pdf2.52 MBAdobe PDFView/Open
008 chapter - 2.pdf2.41 MBAdobe PDFView/Open
009 chapter - 3.pdf2.35 MBAdobe PDFView/Open
010 chapter - 4.pdf2.38 MBAdobe PDFView/Open
011 chapter - 5.pdf2.35 MBAdobe PDFView/Open
012 chapter - 6.pdf2.4 MBAdobe PDFView/Open
013 chapter - 7.pdf2.17 MBAdobe PDFView/Open
014 references.pdf2.42 MBAdobe PDFView/Open
015 publications.pdf2.15 MBAdobe PDFView/Open
016 paper.pdf2.96 MBAdobe PDFView/Open
80_recommendation.pdf2.17 MBAdobe PDFView/Open
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