Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/568170
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dc.coverage.spatialRisk level prediction of pesticide residue of plants using artificial intelligence techniques
dc.date.accessioned2024-05-31T05:08:36Z-
dc.date.available2024-05-31T05:08:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/568170-
dc.format.extentxvii,152p.
dc.languageEnglish
dc.relationp.135-151
dc.rightsuniversity
dc.titleRisk level prediction of pesticide residue of plants using artificial intelligence techniques
dc.title.alternative
dc.creator.researcherKandasamy S
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordTelecommunications
dc.description.note
dc.contributor.guideVishnu Kumar K
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions21cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File24.58 kBAdobe PDFView/Open
02_prelim pages.pdf1.48 MBAdobe PDFView/Open
03_content.pdf205.63 kBAdobe PDFView/Open
04_abstract.pdf11 kBAdobe PDFView/Open
05_chapter1.pdf666.7 kBAdobe PDFView/Open
06_chapter2.pdf218.15 kBAdobe PDFView/Open
07_chapter3.pdf1.33 MBAdobe PDFView/Open
08_chapter4.pdf1.38 MBAdobe PDFView/Open
09_chapter5.pdf603.73 kBAdobe PDFView/Open
10_annexures.pdf156.57 kBAdobe PDFView/Open
80_recommendation.pdf83.61 kBAdobe PDFView/Open


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