| dc.contributor.author | P V, Vinod | |
| dc.date.accessioned | 2026-02-27T10:56:21Z | |
| dc.date.available | 2026-02-27T10:56:21Z | |
| dc.date.issued | 2026-01 | |
| dc.identifier.govdoc | NB19074 | |
| dc.identifier.uri | http://127.0.0.1/xmlui/handle/123456789/17009 | |
| dc.language.iso | en | en_US |
| dc.publisher | IIT Kharagpur | en_US |
| dc.subject | UAV | en_US |
| dc.subject | Normalized Digital Surface Model | en_US |
| dc.subject | Data-efficient Image Transformer | en_US |
| dc.subject | U-Net | en_US |
| dc.subject | Segment Anything Model | en_US |
| dc.title | Development of Multi-Modal and Scalable Deep Learning Framework for Species Level Mapping and Monitoring of Horticulture Plantations from UAV and Satellite Imagery | en_US |
| dc.type | Thesis | en_US |