Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/597954
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-10-25T12:13:23Z | - |
dc.date.available | 2024-10-25T12:13:23Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/597954 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Analysis and Implementation of Nature Inspired Deep Learning Techniques for Efficient Tomato Plant Leaf Disease Detection and Classification | |
dc.title.alternative | ||
dc.creator.researcher | E Gangadevi | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Shobarani R | |
dc.publisher.place | Chennai | |
dc.publisher.university | Dr. M.G.R. Educational and Research Institute | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2019 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10-chapter 6.pdf | Attached File | 123.41 kB | Adobe PDF | View/Open |
11-annexures.pdf | 424.18 kB | Adobe PDF | View/Open | |
1-titlepage.pdf | 139.16 kB | Adobe PDF | View/Open | |
2 - preliminary pages.pdf | 292.51 kB | Adobe PDF | View/Open | |
3- table of contents.pdf | 153.68 kB | Adobe PDF | View/Open | |
4- abstract.pdf | 106.66 kB | Adobe PDF | View/Open | |
5-chapter 1.pdf | 796.67 kB | Adobe PDF | View/Open | |
6-chapter 2.pdf | 405.04 kB | Adobe PDF | View/Open | |
7-chapter 3.pdf | 1.34 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 252.23 kB | Adobe PDF | View/Open | |
8-chapter 4.pdf | 2.01 MB | Adobe PDF | View/Open | |
9-chapter 5.pdf | 461.54 kB | Adobe PDF | View/Open |
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