A review of video-based pig behavior recognition

Q Yang, D Xiao - Applied Animal Behaviour Science, 2020 - Elsevier
Video surveillance technology has been applied in many farms and a large amount of video
data has been generated. Extracting valuable information about the pig industry from video …

A review on computer vision technology for monitoring poultry Farm—Application, hardware, and software

NSN Abd Aziz, SM Daud, RA Dziyauddin… - IEEE …, 2020 - ieeexplore.ieee.org
The productivity and profitability of poultry farming are crucial to support its affordability
issues in food security. Criteria in productivity measurement, including Feed Conversion …

[HTML][HTML] Automatically detecting pig position and posture by 2D camera imaging and deep learning

M Riekert, A Klein, F Adrion, C Hoffmann… - … and Electronics in …, 2020 - Elsevier
Prior livestock research provides evidence for the importance of accurate detection of pig
positions and postures for better understanding animal welfare. Position and posture …

Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory

C Chen, W Zhu, J Steibel, J Siegford, K Wurtz… - … and Electronics in …, 2020 - Elsevier
Aggression is considered as a major animal welfare problem in commercial pig farming. The
aim of this study is to develop a deep learning method based on convolutional neural …

Detection of avian influenza-infected chickens based on a chicken sound convolutional neural network

K Cuan, T Zhang, J Huang, C Fang, Y Guan - Computers and electronics in …, 2020 - Elsevier
The modern poultry industry is large-scale and breeding-intensive, making the spread of
disease in poultry easier, faster and more harmful. Avian influenza (AI) is the most important …

Automatic behavior recognition of group-housed goats using deep learning

M Jiang, Y Rao, J Zhang, Y Shen - Computers and Electronics in …, 2020 - Elsevier
Daily behavior is one important manifestation for health and welfare status of livestock. In
traditional behavior recognition methods, it was often mandatory to detect animal heads or …

Cattle weight estimation using active contour models and regression trees Bagging

VAM Weber, F de Lima Weber… - … and electronics in …, 2020 - Elsevier
Monitoring the weight of beef cattle is important for productive strategies. The main goal of
this work was to automatically extract measurements from 2D images of the dorsal area of …

[HTML][HTML] Long-term tracking of group-housed livestock using keypoint detection and map estimation for individual animal identification

E T. Psota, T Schmidt, B Mote, L C. Pérez - Sensors, 2020 - mdpi.com
Tracking individual animals in a group setting is a exigent task for computer vision and
animal science researchers. When the objective is months of uninterrupted tracking and the …

Automatic recognition of lactating sow postures by refined two-stream RGB-D faster R-CNN

X Zhu, C Chen, B Zheng, X Yang, H Gan, C Zheng… - Biosystems …, 2020 - Elsevier
This paper proposes an end-to-end refined two-stream RGB-D Faster region convolutional
neural network (R-CNN) algorithm, which fuses RGB-D image features in the feature …

Panoptic segmentation of individual pigs for posture recognition

J Brünger, M Gentz, I Traulsen, R Koch - Sensors, 2020 - mdpi.com
Behavioural research of pigs can be greatly simplified if automatic recognition systems are
used. Systems based on computer vision in particular have the advantage that they allow an …