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Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31065
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dc.contributor.authorFolorunso, Taliha Abiodun-
dc.contributor.authorBala, Jibril Abdullahi-
dc.contributor.authorInekwe, Trusting-
dc.contributor.authorAdebayo, Adegboyega-
dc.contributor.authorYadav, Anjana Ran-
dc.contributor.authorThistleton, William-
dc.date.accessioned2026-05-11T22:56:29Z-
dc.date.available2026-05-11T22:56:29Z-
dc.date.issued2026-
dc.identifier.citationFolorunso, 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.en_US
dc.identifier.urihttp://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31065-
dc.publisherSoutheastCon 2026en_US
dc.titleTowards the Development of a Deep Learning Based Maize-Weed Detection System Using YOLO Architecturesen_US
dc.typeArticleen_US
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