Lightweight patch-level attention for efficient pig behavior detection: A novel dataset and approach
The pig farming industry plays a crucial role in food production system. Pig behavior detection facilitates timely anomaly detection, enhances farming efficiency, ensures animal welfare, and prevents diseases. Pig behavior detection involves the automatic recognition and classification of pig behavi...
Saved in:
| Main Authors: | Shuo Wan, Zhongqiang Huang, Tao Han, Ying Sha |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525005301 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Machine Learning-Based Method for Pig Weight Estimation and the PIGRGB-Weight Dataset
by: Xintong Ji, et al.
Published: (2025-04-01) -
MACA-Net: Mamba-Driven Adaptive Cross-Layer Attention Network for Multi-Behavior Recognition in Group-Housed Pigs
by: Zhixiong Zeng, et al.
Published: (2025-04-01) -
Instance segmentation and automated pig posture recognition for smart health management
by: Md Nasim Reza, et al.
Published: (2025-05-01) -
Analysis of Pig Tendencies to Stay Specific Sections Within the Pig Barn According to Environmental Parameters and Facilities Features
by: Dae Yeong Kang, et al.
Published: (2025-06-01) -
Lightweight Domestic Pig Behavior Detection Based on YOLOv8
by: Kaining Zhang, et al.
Published: (2025-06-01)