Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/595492
| Title: | Artificial intelligence driven Vis NIR spectroscopy for non destructive quality evaluation of raw tomatoes |
| Researcher: | Arun Sharma |
| Guide(s): | Ritesh Kumar |
| Keywords: | Engineering and Technology Material Science Materials Science Biomaterials |
| University: | Academy of Scientific and Innovative Research (AcSIR) |
| Completed Date: | 2024 |
| Abstract: | newline |
| Pagination: | All |
| URI: | http://hdl.handle.net/10603/595492 |
| Appears in Departments: | Engineering Sciences (CSIR-CSIO) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 80_recommendation.pdf | Attached File | 322.95 kB | Adobe PDF | View/Open |
| abstract.pdf | 140.76 kB | Adobe PDF | View/Open | |
| annexures.pdf | 15.34 MB | Adobe PDF | View/Open | |
| chapter 1.pdf | 181.72 kB | Adobe PDF | View/Open | |
| chapter 2.pdf | 173.98 kB | Adobe PDF | View/Open | |
| chapter 3.pdf | 902.66 kB | Adobe PDF | View/Open | |
| chapter 4.pdf | 2.62 MB | Adobe PDF | View/Open | |
| chapter 5.pdf | 210.2 kB | Adobe PDF | View/Open | |
| content.pdf | 213.47 kB | Adobe PDF | View/Open | |
| prelim pages.pdf | 1.05 MB | Adobe PDF | View/Open | |
| title.pdf | 110.4 kB | Adobe PDF | View/Open |
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