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Improved YOLO11 model to identify rice diseases in multi-scale scenarios
Research Article - Volume: 2, Issue: 3, 2026 (January)
Improved YOLO11 model to identify rice diseases in multi-scale scenarios Download PDF
*Correspondence to: , 1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China. E-mail address: xiaoli2025shz@163.com. Tel: + 86 135-7977-6544, College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.. Tel: + 86 157-7008-5650, E-Mail:
Received: October 30, 2025; Manuscript No: ; Editor Assigned: December 27, 2025; PreQc No: (PQ); Reviewed: January 12, 2026; Revised: January 19, 2026; Manuscript No: (R); Published: January 27, 2026

Citation: Xiao Li, Wang Z (2026). Improved YOLO11 model to identify rice diseases in multi-scale scenarios. J Plant Pathol. Vol.2 Iss.3, January (2026), pp:46-57.
Copyright: © 2026 . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.