1. Shodhganga@INFLIBNET
  2. Gujarat Technological University
  3. Electronics & Telecommunication Enigerring
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/545580
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-02-16T07:03:57Z-
dc.date.available2024-02-16T07:03:57Z-
dc.identifier.urihttp://hdl.handle.net/10603/545580-
dc.format.extent131
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine learning and deep learning methods for fruits and weed identification
dc.title.alternativeNil
dc.creator.researcherSONI, JIGAR ASHOKKUMAR
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNil
dc.contributor.guidePATEL, HETAL NIKUNJ
dc.publisher.placeAhmedabad
dc.publisher.universityGujarat Technological University
dc.publisher.institutionElectronics and Telecommunication Engineering
dc.date.registered2015
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electronics & Telecommunication Enigerring

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File217.15 kBAdobe PDFView/Open
02_prelim pages.pdf3.6 MBAdobe PDFView/Open
03_abstract.pdf185.97 kBAdobe PDFView/Open
05_contents.pdf295.31 kBAdobe PDFView/Open
09_chapter1.pdf521.29 kBAdobe PDFView/Open
10_chapter2.pdf1.8 MBAdobe PDFView/Open
11_chapter3.pdf1.8 MBAdobe PDFView/Open
12_chapter4.pdf2.56 MBAdobe PDFView/Open
13_chapter5.pdf1.38 MBAdobe PDFView/Open
15_bibliography.pdf2.05 MBAdobe PDFView/Open
80_recommendation.pdf107.64 kBAdobe PDFView/Open
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