Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/565696
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-05-21T11:55:25Z-
dc.date.available2024-05-21T11:55:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/565696-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDetecting Pathogens in Jasmine Plant Using Machine Learning Based Jas Pi Technique
dc.title.alternative
dc.creator.researcherPadmapriya D
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideRohini K
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File142.26 kBAdobe PDFView/Open
02_prelim pages.pdf210.93 kBAdobe PDFView/Open
03_content.pdf420.38 kBAdobe PDFView/Open
04_abstract.pdf7.57 kBAdobe PDFView/Open
05_chapter 1.pdf686.29 kBAdobe PDFView/Open
06_chapter 2.pdf334.5 kBAdobe PDFView/Open
07_chapter 3.pdf519.88 kBAdobe PDFView/Open
08_chapter 4.pdf573.47 kBAdobe PDFView/Open
09_chapter 5.pdf537.96 kBAdobe PDFView/Open
10_annexures.pdf4.31 MBAdobe PDFView/Open
11_chapter 6.pdf673.34 kBAdobe PDFView/Open
12_chapter 7.pdf344.5 kBAdobe PDFView/Open
13_chapter 8.pdf1.78 MBAdobe PDFView/Open
80_recommendation.pdf468.07 kBAdobe PDFView/Open


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