1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/525786
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DC FieldValueLanguage
dc.coverage.spatialCertain analysis on grain post harvest losses by using machine learning approach for smart agriculture system
dc.date.accessioned2023-11-15T11:16:14Z-
dc.date.available2023-11-15T11:16:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/525786-
dc.format.extentxi,178p.
dc.languageEnglish
dc.relationp.167-177
dc.rightsuniversity
dc.titleCertain analysis on grain post harvest losses by using machine learning approach for smart agriculture system
dc.title.alternative
dc.creator.researcherLekhaa T R
dc.subject.keywordAgriculture
dc.subject.keywordCrop Health
dc.subject.keywordRemote Sensing
dc.description.note
dc.contributor.guideKarthikeyan N
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File23.31 kBAdobe PDFView/Open
02_prelim pages.pdf1.61 MBAdobe PDFView/Open
03_contents.pdf6.62 kBAdobe PDFView/Open
04_abstracts.pdf6.65 kBAdobe PDFView/Open
05_chapter1.pdf15.64 kBAdobe PDFView/Open
06_chapter2.pdf71.89 kBAdobe PDFView/Open
07_chapter3.pdf51.26 kBAdobe PDFView/Open
08_chapter4.pdf434.05 kBAdobe PDFView/Open
09_chapter5.pdf163.14 kBAdobe PDFView/Open
10_chapter6.pdf236.55 kBAdobe PDFView/Open
11_annexures.pdf74.33 kBAdobe PDFView/Open
80_recommendation.pdf71.69 kBAdobe PDFView/Open
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