Motion blur aware multiscale adaptive cascade framework for ear tag dropout detection in reserve breeding pigs
Abstract Timely and accurate detection of ear tag dropout is crucial for standardized precision breeding, health monitoring, and breeding evaluation. Reserve breeding pigs exhibit high activity levels and frequent interactions, leading to a higher prevalence of ear tag dropout. However, detection is...
Saved in:
| Main Authors: | Weijun Duan, Fang Wang, Xueliang Fu, Honghui Li, Buyu Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09679-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ear tag and PIT tag retention by white‐tailed deer
by: Emily H. Belser, et al.
Published: (2017-12-01) -
Readability of Electronic and Visual Ear Tags in Hair Goat Kids
by: Ferda Karakuş, et al.
Published: (2016-05-01) -
An Efficient Dropout for Robust Deep Neural Networks
by: Yavuz Çapkan, et al.
Published: (2025-07-01) -
Comparison of GPS Collars and Solar-Powered GPS Ear Tags for Animal Movement Studies
by: Dylan G. Stewart, et al.
Published: (2025-08-01) -
Detecting ear lesions in slaughtered pigs through open-source convolutional neural networks
by: Matteo D’Angelo, et al.
Published: (2025-05-01)