Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/597954
Title: | Analysis and Implementation of Nature Inspired Deep Learning Techniques for Efficient Tomato Plant Leaf Disease Detection and Classification |
Researcher: | E Gangadevi |
Guide(s): | Shobarani R |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Dr. M.G.R. Educational and Research Institute |
Completed Date: | 2024 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/597954 |
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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