YOLO-IAPs: A Rapid Detection Method for Invasive Alien Plants in the Wild Based on Improved YOLOv9

YOLO-IAPs: A Rapid Detection Method for Invasive Alien Plants in the Wild Based on Improved YOLOv9

Invasive alien plants (IAPs) present a significant threat to ecosystems and agricultural production, necessitating rigorous monitoring and detection for effective management and control. To realize accurate and rapid detection of invasive alien plants in the wild, we proposed a rapid detection appro...

Full description

Saved in:
Bibliographic Details
Main Authors: Yiqi Huang, Hongtao Huang, Feng Qin, Ying Chen, Jianghua Zou, Bo Liu, Zaiyuan Li, Conghui Liu, Fanghao Wan, Wanqiang Qian, Xi Qiao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
invasive alien plants
deep learning
plant identification
YOLO model
Online Access:https://www.mdpi.com/2077-0472/14/12/2201
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items