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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Bibliographic Details
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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