UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment.

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Title: UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment.
Authors: Karthik, R. P.1 (AUTHOR) rpkarthikece@gmail.com, Murugesan, G.1 (AUTHOR), Ballaji, Hattan Khaled2 (AUTHOR), Anitha, J.3 (AUTHOR)
Source: PLoS ONE. 5/28/2026, Vol. 21 Issue 5, p1-35. 35p.
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  Data: UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 5/28/2026, Vol. 21 Issue 5, p1-35. 35p.
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        Value: 10.1371/journal.pone.0349855
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