Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/526560
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dc.coverage.spatial
dc.date.accessioned2023-11-21T05:28:50Z-
dc.date.available2023-11-21T05:28:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/526560-
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Efficient Feature Extraction and Deep Learning Technique for Detection and Classification of Grape Plant Diseases
dc.title.alternative
dc.creator.researcherP S, Prasad
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordDeep Learning Technique
dc.subject.keywordEngineering and Technology
dc.subject.keywordGrape Plant Diseases
dc.subject.keywordMachine Learing
dc.description.note
dc.contributor.guideBlessed Prince P
dc.publisher.placeIttagalpura
dc.publisher.universityPresidency University, Karnataka
dc.publisher.institutionSchool of Engineering
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File187.87 kBAdobe PDFView/Open
02_prelim pages.pdf1.03 MBAdobe PDFView/Open
03_content.pdf208.47 kBAdobe PDFView/Open
04_abstract.pdf177.16 kBAdobe PDFView/Open
05_chapter 1.pdf1.17 MBAdobe PDFView/Open
06_chapter 2.pdf478.87 kBAdobe PDFView/Open
07_chapter 3.pdf2.81 MBAdobe PDFView/Open
08_chapter 4.pdf1.67 MBAdobe PDFView/Open
09_chapter 5.pdf1.12 MBAdobe PDFView/Open
10_chapter 6.pdf1.4 MBAdobe PDFView/Open
11_annexures.pdf691.54 kBAdobe PDFView/Open
80_recommendation.pdf194.24 kBAdobe PDFView/Open


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