[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 …

Identification and classification for sheep foraging behavior based on acoustic signal and deep learning

K Wang, P Wu, H Cui, C Xuan, H Su - Computers and electronics in …, 2021 - Elsevier
It is very significant to monitor livestock foraging behavior accurately and in real-time to
further improve pasture management and livestock welfare. Although various algorithms …

Daylong acoustic recordings of grazing and rumination activities in dairy cows

LS Martinez-Rau, JO Chelotti, M Ferrero, SA Utsumi… - Scientific Data, 2023 - nature.com
Monitoring livestock feeding behavior may help assess animal welfare and nutritional status,
and to optimize pasture management. The need for continuous and sustained monitoring …

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 …

Recognition of Cattle's Feeding Behaviors Using Noseband Pressure Sensor With Machine Learning

G Chen, C Li, Y Guo, H Shu, Z Cao… - Frontiers in Veterinary …, 2022 - frontiersin.org
Automatic monitoring of feeding behavior especially rumination and eating in cattle is
important to keep track of animal health and growth condition and disease warnings. The …

[HTML][HTML] Recognition of Sheep Feeding Behavior in Sheepfolds using Fusion Spectrogram depth features and acoustic features

Y Yu, W Zhu, X Ma, J Du, Y Liu, L Gan, X An, H Li… - Animals, 2024 - mdpi.com
In precision feeding, non-contact and pressure-free monitoring of sheep feeding behavior is
crucial for health monitoring and optimizing production management. The experimental …

Short-term feeding behaviour sound classification method for sheep using LSTM networks

G Duan, S Zhang, M Lu, C Okinda, M Shen… - International Journal of …, 2021 - ijabe.org
A deep learning approach using long-short term memory (LSTM) networks was
implemented in this study to classify the sound of short-term feeding behaviour of sheep …

Predicting bite rate of grazing cattle from accelerometry data via semi-supervised regression

S Hu, R Arablouei, GJ Bishop-Hurley, A Reverter… - Smart Agricultural …, 2023 - Elsevier
Accurate estimation of bite rate, ie, the number of bites during a given grazing period, is
important for the characterisation of cattle grazing behaviour and feed intake. In this paper …

A robust computational approach for jaw movement detection and classification in grazing cattle using acoustic signals

LS Martinez-Rau, JO Chelotti, SR Vanrell… - … and Electronics in …, 2022 - Elsevier
Monitoring behaviour of the grazing livestock is a difficult task because of its demanding
requirements (continuous operation, large amount of information, computational efficiency …

Using segment-based features of jaw movements to recognise foraging activities in grazing cattle

JO Chelotti, SR Vanrell, LS Martinez-Rau, JR Galli… - Biosystems …, 2023 - Elsevier
Precision livestock farming optimises livestock production through the use of sensor
information and communication technologies to support decision making in real-time …