RDW-YOLO: A Deep Learning Framework for Scalable Agricultural Pest Monitoring and Control
Due to target diversity, life-cycle variations, and complex backgrounds, traditional pest detection methods often struggle with accuracy and efficiency. This study introduces RDW-YOLO, an improved pest detection algorithm based on YOLO11, featuring three key innovations. First, the Reparameterized D...
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| Main Authors: | Jiaxin Song, Ke Cheng, Fei Chen, Xuecheng Hua |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Insects |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4450/16/5/545 |
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