Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …
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 …
modern agriculture. They are frequently integrated with other new technologies in order to …
Precision livestock farming applications (PLF) for grazing animals
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 …
with increased consumption of animal products predominately due to the advancing …
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 …
recognition of animal behavior can provide a powerful tool for improving the breeding …
[HTML][HTML] Invited review: Cattle lameness detection with accelerometers
NW O'leary, DT Byrne, AH O'Connor, L Shalloo - Journal of dairy science, 2020 - Elsevier
Locomotion scoring is time consuming and is not commonly completed on farms. Farmers
also underestimate their herds' lameness prevalence, a knowledge gap that impedes …
also underestimate their herds' lameness prevalence, a knowledge gap that impedes …
Deep transfer learning in sheep activity recognition using accelerometer data
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 …
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 …
becoming increasingly common. Despite the rapid growth of research in this area, there is …
A survey of machine learning approaches in animal behaviour
Animal activity recognition is an important topic that facilitates understanding of animal
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …
Classification of broiler behaviours using triaxial accelerometer and machine learning
Understanding broiler behaviours provides important implications for animal well-being and
farm management. The objectives of this study were to classify specific broiler behaviours by …
farm management. The objectives of this study were to classify specific broiler behaviours by …
Activity detection for the wellbeing of dogs using wearable sensors based on deep learning
Among pets, dogs are very famous in the whole world. The owners of dogs are very cautious
about the well-being of their dogs. The well-being of dogs can be ensured by continuous …
about the well-being of their dogs. The well-being of dogs can be ensured by continuous …