1. Shodhganga@INFLIBNET
  2. Bharathiar University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/600983
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-11-13T09:53:32Z-
dc.date.available2024-11-13T09:53:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/600983-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Efficient Convolutional Neural Network Approach To Predict The Soil Texture Properties In Agriculture Sector
dc.title.alternative
dc.creator.researcherAnandan, K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.description.note
dc.contributor.guideShankar, R
dc.publisher.placeCoimbatore
dc.publisher.universityBharathiar University
dc.publisher.institutionDepartment of Computer Science
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:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File72.49 kBAdobe PDFView/Open
02_prelim pages.pdf1.01 MBAdobe PDFView/Open
03_content.pdf22.48 kBAdobe PDFView/Open
04_abstract.pdf69.85 kBAdobe PDFView/Open
05_chapter 1.pdf930.09 kBAdobe PDFView/Open
06_chapter 2.pdf646.67 kBAdobe PDFView/Open
07_chapter 3.pdf672.33 kBAdobe PDFView/Open
08_chapter 4.pdf1.26 MBAdobe PDFView/Open
09_chapter 5.pdf497.21 kBAdobe PDFView/Open
10_chapter 6.pdf365.06 kBAdobe PDFView/Open
11_chapter 7.pdf182.46 kBAdobe PDFView/Open
12_annexures.pdf762.15 kBAdobe PDFView/Open
80_recommendation.pdf254.5 kBAdobe PDFView/Open
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