Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/571683
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dc.coverage.spatialAn effective machine learning model for estimation of reference crop evapotranspiration under limited meteorological parameters
dc.date.accessioned2024-06-18T05:00:22Z-
dc.date.available2024-06-18T05:00:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/571683-
dc.format.extentxxvi,173p.
dc.languageEnglish
dc.relationP.160-172
dc.rightsuniversity
dc.titleAn effective machine learning model for estimation of reference crop evapotranspiration under limited meteorological parameters
dc.title.alternative
dc.creator.researcherSaravanan, K
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Civil
dc.subject.keywordhydrological cycle
dc.subject.keywordspatiotemporal dynamics
dc.subject.keywordwater-stressed nations
dc.description.note
dc.contributor.guideSaravanan, R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Civil Engineering
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Civil Engineering

Files in This Item:
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01_title.pdfAttached File25.98 kBAdobe PDFView/Open
02_prelim pages.pdf2.5 MBAdobe PDFView/Open
03_content.pdf315.62 kBAdobe PDFView/Open
04_abstract.pdf141.03 kBAdobe PDFView/Open
05_chapter1.pdf34.77 kBAdobe PDFView/Open
06_chapter2.pdf577.57 kBAdobe PDFView/Open
07_chapter3.pdf325.81 kBAdobe PDFView/Open
08_chapter4.pdf946.77 kBAdobe PDFView/Open
09_chapter5.pdf2.93 MBAdobe PDFView/Open
10_annexures.pdf120.66 kBAdobe PDFView/Open
80_recommendation.pdf84.16 kBAdobe PDFView/Open


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