An Enhanced and Lightweight YOLOv8-Based Model for Accurate Rice Pest Detection
Accurate pest identification is crucial for ensuring both high quality and high yield in rice production. This paper proposes RicePest-YOLO, a practical and generalizable model designed for agricultural pest detection, based on structural optimization and lightweight strategies applied to the YOLOv8...
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| Main Authors: | Guisuo Liu, Juxing Di, Qing Wang, Yan Zhao, Yang Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11003895/ |
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