Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions

A Mao, E Huang, X Wang, K Liu - Computers and Electronics in Agriculture, 2023 - Elsevier
Animal behavior, as one of the most crucial indicators of animal health and welfare, provides
rich insights into animal physical and mental states. Automated animal activity recognition …

[HTML][HTML] Application of deep learning for livestock behaviour recognition: A systematic literature review

A Rohan, MS Rafaq, MJ Hasan, F Asghar… - … and Electronics in …, 2024 - Elsevier
Livestock health and welfare monitoring is a tedious and labour-intensive task previously
performed manually by humans. However, with recent technological advancements, the …

Monitoring behaviors of broiler chickens at different ages with deep learning

Y Guo, SE Aggrey, P Wang, A Oladeinde, L Chai - Animals, 2022 - mdpi.com
Simple Summary Animal behavior in the poultry house could be used as an indicator of
health and welfare status. In this study, a convolutional neural network models (CNN) …

[HTML][HTML] Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data

S Benaissa, FAM Tuyttens, D Plets, L Martens… - animal, 2023 - Elsevier
Cattle behaviour is fundamentally linked to the cows' health,(re) production, and welfare.
The aim of this study was to present an efficient method to incorporate Ultra-Wideband …

CNN-Bi-LSTM: A complex environment-oriented cattle behavior classification network based on the fusion of CNN and Bi-LSTM

G Gao, C Wang, J Wang, Y Lv, Q Li, Y Ma, X Zhang… - Sensors, 2023 - mdpi.com
Cattle behavior classification technology holds a crucial position within the realm of smart
cattle farming. Addressing the requisites of cattle behavior classification in the agricultural …

Exploring edge TPU for network intrusion detection in IoT

S Hosseininoorbin, S Layeghy, M Sarhan… - Journal of Parallel and …, 2023 - Elsevier
This paper explores Google's Edge TPU for implementing a practical network intrusion
detection system (NIDS) at the edge of IoT, based on a deep learning approach. While a …

Oestrus detection in dairy cows by using atrous spatial pyramid and attention mechanism

R Wang, Q Bai, R Gao, Q Li, C Zhao, S Li… - Biosystems …, 2022 - Elsevier
The mounting behaviour of dairy cows is driven by oestrus and is also related to their
welfare. To improve the accuracy and speed of the detection of mounting of dairy cows in …

Real-Time Monitoring of Grazing Cattle Using LORA-WAN Sensors to Improve Precision in Detecting Animal Welfare Implications via Daily Distance Walked Metrics

S Nyamuryekung'e, G Duff, S Utsumi, R Estell… - Animals, 2023 - mdpi.com
Simple Summary Global positioning system (GPS) coordinates are often used to calculate
distance traveled, a useful metric for research and decision-making processes in livestock …

X3DFast model for classifying dairy cow behaviors based on a two-pathway architecture

Q Bai, R Gao, R Wang, Q Li, Q Yu, C Zhao, S Li - Scientific Reports, 2023 - nature.com
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 …

Understanding intake on pastures: how, why, and a way forward

WB Smith, ML Galyean, RL Kallenbach… - Journal of Animal …, 2021 - academic.oup.com
An assessment of dietary intake is a critical component of animal nutrition. Consumption of
feed resources is the basis upon which feeding strategies and grazing management are …