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 …
Smart animal agriculture: application of real-time sensors to improve animal well-being and production
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 …
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 …
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
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 …
rich insights into animal physical and mental states. Automated animal activity recognition …
[HTML][HTML] Modelling the smart farm
Smart farming envisages the harnessing of Information and Communication Technologies
as an enabler of more efficient, productive, and profitable farming enterprises. Such …
as an enabler of more efficient, productive, and profitable farming enterprises. Such …
[HTML][HTML] Cattle behaviour classification from collar, halter, and ear tag sensors
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 …
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 …
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
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 …
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
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 …
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 …
productivity required by the high food demand. Monitoring cattle behavior is a fundamental …