[HTML][HTML] Precision Livestock Farming technologies in pasture-based livestock systems

C Aquilani, A Confessore, R Bozzi, F Sirtori, C Pugliese - Animal, 2022 - Elsevier
Abstract Precision Livestock Farming (PLF) encompasses the combined application of
single technologies or multiple tools in integrated systems for real-time and individual …

Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data

L Riaboff, L Shalloo, AF Smeaton, S Couvreur… - … and Electronics in …, 2022 - Elsevier
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …

Precision livestock farming applications (PLF) for grazing animals

C Tzanidakis, O Tzamaloukas, P Simitzis, P Panagakis - Agriculture, 2023 - mdpi.com
Over the past four decades the dietary needs of the global population have been elevated,
with increased consumption of animal products predominately due to the advancing …

The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence

S Fuentes, CG Viejo, E Tongson… - Animal Health Research …, 2022 - cambridge.org
Livestock welfare assessment helps monitor animal health status to maintain productivity,
identify injuries and stress, and avoid deterioration. It has also become an important …

Extensive sheep and goat production: The role of novel technologies towards sustainability and animal welfare

SR Silva, L Sacarrão-Birrento, M Almeida, DM Ribeiro… - Animals, 2022 - mdpi.com
Simple Summary New technologies have been recognized as valuable in controlling,
monitoring, and managing farm animal activities. It makes it possible to deepen the …

Categorising sheep activity using a tri-axial accelerometer

J Barwick, DW Lamb, R Dobos, M Welch… - … and Electronics in …, 2018 - Elsevier
An animal's behaviour can be a useful indicator of their physiological and physical state. As
resting, eating, walking and ruminating are the predominant daily activities of ruminant …

Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect

M Cheng, H Yuan, Q Wang, Z Cai, Y Liu… - … and electronics in …, 2022 - Elsevier
The behavior of animals can reflect animal health status and physiological stages. Automatic
recognition of animal behavior can provide a powerful tool for improving the breeding …

Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep

N Mansbridge, J Mitsch, N Bollard, K Ellis… - Sensors, 2018 - mdpi.com
Grazing and ruminating are the most important behaviours for ruminants, as they spend
most of their daily time budget performing these. Continuous surveillance of eating …

Deep transfer learning in sheep activity recognition using accelerometer data

N Kleanthous, A Hussain, W Khan, J Sneddon… - Expert Systems with …, 2022 - Elsevier
Abstract Machine learning and sensor devices lined up with agriculture for the development
of systems can efficiently provide real-time knowledge on animal behavior without the need …

Behaviour classification of extensively grazed sheep using machine learning

ES Fogarty, DL Swain, GM Cronin, LE Moraes… - … and Electronics in …, 2020 - Elsevier
The application of accelerometer sensors for automated animal behaviour monitoring is
becoming increasingly common. Despite the rapid growth of research in this area, there is …