X3DFast model for classifying dairy cow behaviors based on a two-pathway architecture
Abstract Behavior is one of the important factors reflecting the health status of dairy cows, and when dairy cows encounter health problems, they exhibit different behavioral characteristics. Therefore, identifying dairy cow behavior not only helps in assessing their physiological health and disease...
Main Authors: | Qiang Bai, Ronghua Gao, Rong Wang, Qifeng Li, Qinyang Yu, Chunjiang Zhao, Shuqin Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-45211-2 |
Similar Items
-
Detection Method of Cow Estrus Behavior in Natural Scenes Based on Improved YOLOv5
by: Rong Wang, et al.
Published: (2022-08-01) -
A lightweight cow mounting behavior recognition system based on improved YOLOv5s
by: Rong Wang, et al.
Published: (2023-10-01) -
Classifying Ingestive Behavior of Dairy Cows via Automatic Sound Recognition
by: Guoming Li, et al.
Published: (2021-08-01) -
Classifying Chewing and Rumination in Dairy Cows Using Sound Signals and Machine Learning
by: Saman Abdanan Mehdizadeh, et al.
Published: (2023-09-01) -
ICNet: A Dual-Branch Instance Segmentation Network for High-Precision Pig Counting
by: Shanghao Liu, et al.
Published: (2024-01-01)