[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 …

[HTML][HTML] Livestock feeding behaviour: A review on automated systems for ruminant monitoring

JO Chelotti, LS Martinez-Rau, M Ferrero… - Biosystems …, 2024 - Elsevier
Livestock feeding behaviour is an influential research area in animal husbandry and
agriculture. In recent years, there has been a growing interest in automated systems for …

Livestock feeding behavior: A tutorial review on automated techniques for ruminant monitoring

J Chelotti, L Martinez-Rau, M Ferrero, L Vignolo… - arXiv preprint arXiv …, 2023 - arxiv.org
Livestock feeding behavior is an influential research area for those involved in animal
husbandry and agriculture. In recent years, there has been a growing interest in automated …

Accelerometer time series augmentation through externally driving a non-linear dynamical system

L Minati, C Li, J Bartels, P Chakraborty, Z Li… - Chaos, Solitons & …, 2023 - Elsevier
Coupled non-linear dynamical systems have gained attention not only as a ubiquitous
occurrence in natural and artificial scenarios, but also as a basis for atypical computation …

Study of pose estimation based on spatio-temporal characteristics of cow skeleton

Y Wei, H Zhang, C Gong, D Wang, M Ye, Y Jia - Agriculture, 2023 - mdpi.com
The pose of cows reflects their body condition, and the information contained in the skeleton
can provide data support for lameness, estrus, milk yield, and contraction behavior …

Integrated data augmentation for accelerometer time series in behavior recognition: roles of sampling, balancing, and fourier surrogates

C Li, L Minati, KK Tokgoz, M Fukawa… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The behavioral monitoring of farmed animals such as cattle is a fundamental element of
precision farming in which it enables unobtrusive ongoing health monitoring. This …

Decoding cow behavior patterns from accelerometer data using deep learning

NS Russel, A Selvaraj - Journal of Veterinary Behavior, 2024 - Elsevier
This article explores the novel application of deep learning methods in the analysis of
complex cattle behavior patterns using accelerometer data. With the information provided by …

Uncovering Patterns in Dairy Cow Behaviour: A Deep Learning Approach with Tri-Axial Accelerometer Data

P Balasso, C Taccioli, L Serva, L Magrin, I Andrighetto… - Animals, 2023 - mdpi.com
Simple Summary The early detection of behavioural changes based on variations in dairy
cows' daily routines is of paramount importance to the timely identification of the onset of …

Real-time classification of cattle behavior using Wireless Sensor Networks

J Navarro, RR Fernández, V Aceña… - Internet of Things, 2024 - Elsevier
The detection of activity and behavioral patterns using accelerometers in humans has been
a longstanding research. Progress in this field has been successfully transferred to the study …