BiAF: research on dynamic goat herd detection and tracking based on machine vision
Abstract As technology advances, rangeland management is rapidly transitioning toward intelligent systems. To optimize grassland resources and implement scientific grazing practices, livestock grazing monitoring has become a pivotal area of research. Traditional methods, such as manual tracking and...
Saved in:
Main Authors: | Yun Hou, Mingjuan Han, Wei Fan, Xinyu Jia, Zhuo Gong, Ding Han |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-89231-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vehicle Detection and Tracking Based on Improved YOLOv8
by: Yunxiang Liu, et al.
Published: (2025-01-01) -
Culling and Replacement Rate in the Beef Cow Herd
by: Matt Hersom, et al.
Published: (2016-04-01) -
Improvement of Specific Multi-target Tracking Algorithm in Cross-domain Environment
by: MU Xiaofang, et al.
Published: (2025-01-01) -
Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process
by: Athraa Sabeeh Hasan Allak, et al.
Published: (2025-01-01) -
Effect of Tick and Lice on Some Blood Constitute and Trace elements of Local Black Goat in Sulaimani, Kurdistan Region of Iraq
by: Bawan Mustafa Abdalrahman, et al.
Published: (2018-12-01)