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http://20.198.91.3:8080/jspui/handle/123456789/3851Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Chatterjee, Arpitam | - |
| dc.contributor.author | Mukherjee, Gunjan | - |
| dc.date.accessioned | 2023-09-26T09:59:57Z | - |
| dc.date.available | 2023-09-26T09:59:57Z | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2023 | - |
| dc.identifier.other | TC3351 | - |
| dc.identifier.uri | http://20.198.91.3:8080/jspui/handle/123456789/3851 | - |
| dc.format.extent | xiii, 195 p. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Jadavpur University, Kolkata, West Bengal | en_US |
| dc.subject | Computer Vision | en_US |
| dc.subject | Medicinal Plants | en_US |
| dc.subject | Leaf diseases | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | Optimization | en_US |
| dc.title | Studies on computer vision based identification of species and maturity stages for some medicinal plants and agricultural produces | en_US |
| dc.type | Text | en_US |
| dc.department | Jadavpur University. Department of Printing Engineering | en_US |
| Appears in Collections: | 2023 (Awarded Year) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Abstract.pdf | 332.47 kB | Adobe PDF | View/Open | |
| PhD Thesis(Printing Engineering)Gunjan Mukherjee.pdf | 9.37 MB | Adobe PDF | View/Open |
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