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 …

Smart animal agriculture: application of real-time sensors to improve animal well-being and production

I Halachmi, M Guarino, J Bewley… - Annual review of animal …, 2019 - annualreviews.org
Consumption of animal products such as meat, milk, and eggs in first-world countries has
leveled off, but it is rising precipitously in develo** countries. Agriculture will have to …

E-YOLO: Recognition of estrus cow based on improved YOLOv8n model

Z Wang, Z Hua, Y Wen, S Zhang, X Xu… - Expert Systems with …, 2024 - Elsevier
Timely and accurately identifying estrus cows is essential in modern dairy farming. To
address the challenges of delayed and inefficient manual monitoring of cow estrus, an …

Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions

A Mao, E Huang, X Wang, K Liu - Computers and Electronics in Agriculture, 2023 - Elsevier
Animal behavior, as one of the most crucial indicators of animal health and welfare, provides
rich insights into animal physical and mental states. Automated animal activity recognition …

[HTML][HTML] Modelling the smart farm

MJ O'Grady, GMP O'Hare - Information processing in agriculture, 2017 - Elsevier
Smart farming envisages the harnessing of Information and Communication Technologies
as an enabler of more efficient, productive, and profitable farming enterprises. Such …

[HTML][HTML] Cattle behaviour classification from collar, halter, and ear tag sensors

A Rahman, DV Smith, B Little, AB Ingham… - … processing in agriculture, 2018 - Elsevier
In this paper, we summarise the outcome of a set of experiments aimed at classifying cattle
behaviour based on sensor data. Each animal carried sensors generating time series …

Classification of multiple cattle behavior patterns using a recurrent neural network with long short-term memory and inertial measurement units

Y Peng, N Kondo, T Fujiura, T Suzuki… - … and electronics in …, 2019 - Elsevier
In this study, we aimed to develop a recurrent neural network (RNN) with a long short-time
memory (LSTM) model to monitor and classify cattle behavior patterns using inertial …

Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems

D Smith, A Rahman, GJ Bishop-Hurley, J Hills… - … and electronics in …, 2016 - Elsevier
Precision management systems for livestock offer the potential to monitor and manage
animals on an individual basis. A key component of these sensor based systems are the …

Detecting heat events in dairy cows using accelerometers and unsupervised learning

MS Shahriar, D Smith, A Rahman, M Freeman… - … and electronics in …, 2016 - Elsevier
This study was conducted to investigate the detection of heat events in pasture-based dairy
cows fitted with on-animal sensors using unsupervised learning. Accelerometer data from …

[HTML][HTML] Monitoring and classification of cattle behavior: A survey

A da Silva Santos, VWC de Medeiros… - Smart Agricultural …, 2023 - Elsevier
The use of precision livestock has increased due to the need to improve the efficiency and
productivity required by the high food demand. Monitoring cattle behavior is a fundamental …