Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Industry 4.0 and precision livestock farming (PLF): an up to date overview across animal productions

S Morrone, C Dimauro, F Gambella, MG Cappai - Sensors, 2022 - mdpi.com
Precision livestock farming (PLF) has spread to various countries worldwide since its
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …

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 …

[HTML][HTML] Precision livestock farming, automats and new technologies: Possible applications in extensive dairy sheep farming

MO Vaintrub, H Levit, M Chincarini, I Fusaro… - Animal, 2021 - Elsevier
Precision livestock farming (PLF) technologies are becoming increasingly common in
modern agriculture. They are frequently integrated with other new technologies in order to …

Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture

A Herlin, E Brunberg, J Hultgren, N Högberg… - Animals, 2021 - mdpi.com
Simple Summary Monitoring the welfare of cattle and sheep in large pastures can be time-
consuming, especially if the animals are scattered over large areas in semi-natural pastures …

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 …

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 …

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 …