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...

Full description

Saved in:
Bibliographic Details
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/
Tags: Add Tag
No Tags, Be the first to tag this record!