SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection
Plant disease detection remains a significant challenge, necessitating innovative approaches to enhance detection efficiency and accuracy. This study proposes an improved YOLOv8 model, SerpensGate-YOLOv8, specifically designed for plant disease detection tasks. Key enhancements include the incorpora...
Saved in:
Main Authors: | Yongzheng Miao, Wei Meng, Xiaoyu Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1514832/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
YOLOv8n-CA: Improved YOLOv8n Model for Tomato Fruit Recognition at Different Stages of Ripeness
by: Xin Gao, et al.
Published: (2025-01-01) -
Intelligent monitoring of small target detection using YOLOv8
by: Lei Sun, et al.
Published: (2025-01-01) -
A Lightweight Model for Shine Muscat Grape Detection in Complex Environments Based on the YOLOv8 Architecture
by: Changlei Tian, et al.
Published: (2025-01-01) -
Mirror Target YOLO: An Improved YOLOv8 Method With Indirect Vision for Heritage Buildings Fire Detection
by: Jian Liang, et al.
Published: (2025-01-01) -
Vehicle Detection and Tracking Based on Improved YOLOv8
by: Yunxiang Liu, et al.
Published: (2025-01-01)