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 …

Intelligent perception-based cattle lameness detection and behaviour recognition: A review

Y Qiao, H Kong, C Clark, S Lomax, D Su, S Eiffert… - Animals, 2021 - mdpi.com
Simple Summary Cattle lameness detection as well as behaviour recognition are the two
main objectives in the applications of precision livestock farming (PLF). Over the last five …

Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming

LO Tedeschi, PL Greenwood… - Journal of Animal …, 2021 - academic.oup.com
Remote monitoring, modern data collection through sensors, rapid data transfer, and vast
data storage through the Internet of Things (IoT) have advanced precision livestock farming …

Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information

A Fuentes, S Yoon, J Park, DS Park - Computers and Electronics in …, 2020 - Elsevier
Behavior is an important indicator for understanding the well-being of animals. This process
has been frequently carried out by observing video records to detect changes with statistical …

Using a CNN-LSTM for basic behaviors detection of a single dairy cow in a complex environment

D Wu, Y Wang, M Han, L Song, Y Shang… - … and Electronics in …, 2021 - Elsevier
The basic behaviors of dairy cows (drinking, ruminating, walking, standing and lying) are
closely related to their physiological health status. Consequently, intelligent behavior …

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 …

SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming

M Taneja, N Jalodia, J Byabazaire… - Software: practice …, 2019 - Wiley Online Library
Summary Internet of Things (IoT), fog computing, cloud computing, and data‐driven
techniques together offer a great opportunity for verticals such as dairy industry to increase …

Near-infrared imaging to quantify the feeding behavior of fish in aquaculture

C Zhou, B Zhang, K Lin, D Xu, C Chen, X Yang… - … and Electronics in …, 2017 - Elsevier
In aquaculture, fish feeding behavior under culture conditions holds important information for
the aquaculturist. In this study, near-infrared imaging was used to observe feeding …

[PDF][PDF] Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo

Q Aini, N Lutfiani, H Kusumah… - CESS (Journal of …, 2021 - academia.edu
Ranah pengenalan dan pendeteksian objek telah diminati oleh banyak pihak sejak
ditemukannya Computer Vision pada 1960-an, baik di bidang industri maupun medis. Sejak …