Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/383106
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dc.coverage.spatial
dc.date.accessioned2022-05-31T06:28:48Z-
dc.date.available2022-05-31T06:28:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/383106-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleRemote Sensing Based Crop Water Stress Assessment Using Machine Learning
dc.title.alternative
dc.creator.researcherVirnodkar, Shyamal Satish
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordCrop Water
dc.subject.keywordEngineering and Technology
dc.subject.keywordMachine learning
dc.subject.keywordRemote sensing
dc.subject.keywordStress Assessment
dc.description.note
dc.contributor.guidePachghare, Vinod K
dc.publisher.placePune
dc.publisher.universitySavitribai Phule Pune University
dc.publisher.institutionCollege of Engineering Pune
dc.date.registered2018
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:College of Engineering Pune

Files in This Item:
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01_title.pdfAttached File540.5 kBAdobe PDFView/Open
02_certificate.pdf319.98 kBAdobe PDFView/Open
03_declaration.pdf82.97 kBAdobe PDFView/Open
04_acknowledgement.pdf49.05 kBAdobe PDFView/Open
05_content.pdf56.16 kBAdobe PDFView/Open
06_list_of_tables.pdf49.95 kBAdobe PDFView/Open
07_list_of_figures.pdf52.95 kBAdobe PDFView/Open
08_abbreviation.pdf88.68 kBAdobe PDFView/Open
09_abstract.pdf50.14 kBAdobe PDFView/Open
10_chapter 1.pdf238.37 kBAdobe PDFView/Open
11_chapter 2.pdf224.31 kBAdobe PDFView/Open
12_chapter 3.pdf321.39 kBAdobe PDFView/Open
13_chapter 4.pdf472.54 kBAdobe PDFView/Open
14_chapter 5.pdf1.29 MBAdobe PDFView/Open
15_chapter 6.pdf77.04 kBAdobe PDFView/Open
16_bibliography.pdf134.13 kBAdobe PDFView/Open
17_appendix.pdf47.85 kBAdobe PDFView/Open
80_recommendation.pdf84.31 kBAdobe PDFView/Open


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