Please use this identifier to cite or link to this item:
http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31065| Title: | Towards the Development of a Deep Learning Based Maize-Weed Detection System Using YOLO Architectures |
| Authors: | Folorunso, Taliha Abiodun Bala, Jibril Abdullahi Inekwe, Trusting Adebayo, Adegboyega Yadav, Anjana Ran Thistleton, William |
| Issue Date: | 2026 |
| Publisher: | SoutheastCon 2026 |
| Citation: | Folorunso, T. A., Bala, J. A., Inekwe, T., Adebayo, A., Yadav, A. R., & Thistleton, W. (2026, February). Towards the Development of a Deep Learning Based Maize-Weed Detection System Using YOLO Architectures. In SoutheastCon 2026 (pp. 1-6). IEEE. |
| URI: | http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31065 |
| Appears in Collections: | Mechatronics Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2026043585.pdf | 869.88 kB | Adobe PDF | View/Open |
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