Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/565696
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-05-21T11:55:25Z | - |
dc.date.available | 2024-05-21T11:55:25Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/565696 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Detecting Pathogens in Jasmine Plant Using Machine Learning Based Jas Pi Technique | |
dc.title.alternative | ||
dc.creator.researcher | Padmapriya D | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Rohini K | |
dc.publisher.place | Chennai | |
dc.publisher.university | Vels University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 142.26 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 210.93 kB | Adobe PDF | View/Open | |
03_content.pdf | 420.38 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 7.57 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 686.29 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 334.5 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 519.88 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 573.47 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 537.96 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 4.31 MB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 673.34 kB | Adobe PDF | View/Open | |
12_chapter 7.pdf | 344.5 kB | Adobe PDF | View/Open | |
13_chapter 8.pdf | 1.78 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 468.07 kB | Adobe PDF | View/Open |
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