RLDD-YOLOv11n: Research on Rice Leaf Disease Detection Based on YOLOv11

RLDD-YOLOv11n: Research on Rice Leaf Disease Detection Based on YOLOv11

Rice disease identification plays a critical role in ensuring yield stability, enabling precise prevention and control, and promoting agricultural intelligence. However, existing approaches rely heavily on manual inspection, which is labor-intensive and inefficient. Moreover, the significant variabi...

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Bibliographic Details
Main Authors: Kui Fang, Rui Zhou, Nan Deng, Cheng Li, Xinghui Zhu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agronomy
Subjects:
disease detection
semantic information
upsampling
YOLOv11n
attention mechanism
Online Access:https://www.mdpi.com/2073-4395/15/6/1266
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