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] Application of deep learning for livestock behaviour recognition: A systematic literature review
Livestock health and welfare monitoring is a tedious and labour-intensive task previously
performed manually by humans. However, with recent technological advancements, the …
performed manually by humans. However, with recent technological advancements, the …
Development and analysis of a CNN-and transfer-learning-based classification model for automated dairy cow feeding behavior recognition from accelerometer data
V Bloch, L Frondelius, C Arcidiacono, M Mancino… - Sensors, 2023 - mdpi.com
Due to technological developments, wearable sensors for monitoring the behavior of farm
animals have become cheaper, have a longer lifespan and are more accessible for small …
animals have become cheaper, have a longer lifespan and are more accessible for small …
Data augmentation for time-series classification: An extensive empirical study and comprehensive survey
Z Gao, H Liu, L Li - arXiv preprint arXiv:2310.10060, 2023 - arxiv.org
Data Augmentation (DA) has become a critical approach in Time Series Classification
(TSC), primarily for its capacity to expand training datasets, enhance model robustness …
(TSC), primarily for its capacity to expand training datasets, enhance model robustness …
A deep learning-based cow behavior recognition scheme for improving cattle behavior modeling in smart farming
PM Shakeel, B bin Mohd Aboobaider, LB Salahuddin - Internet of Things, 2022 - Elsevier
Farming and animal husbandry applications are improvised with the implication of machine
learning and artificial intelligence in recent years. The precise estimation, recommendations …
learning and artificial intelligence in recent years. The precise estimation, recommendations …
Accelerometer time series augmentation through externally driving a non-linear dynamical system
Coupled non-linear dynamical systems have gained attention not only as a ubiquitous
occurrence in natural and artificial scenarios, but also as a basis for atypical computation …
occurrence in natural and artificial scenarios, but also as a basis for atypical computation …
FedAAR: A novel federated learning framework for animal activity recognition with wearable sensors
Simple Summary Automated animal activity recognition has achieved great success due to
the recent advances in deep learning, allowing staff to identify variations in the animal …
the recent advances in deep learning, allowing staff to identify variations in the animal …
IoT-Based Bacillus Number Prediction in Smart Turmeric Farms Using Small Data Sets
JY Lin, YB Lin, WL Chen, FL Ng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The Bacillus genus is one of the most commercially exploited bacteria in the agro-
biotechnology industry, and the Bacillus information is very useful for crop growth. Most …
biotechnology industry, and the Bacillus information is very useful for crop growth. Most …
A 4W Low-Power Audio Processor System for Real-Time Jaw Movements Recognition in Grazing Cattle
LS Martinez-Rau, M Weißbrich… - Journal of Signal …, 2023 - Springer
Precision livestock farming consists of technological tools and techniques to improve
livestock management. Proper detection and classification of jaw movement (JM) events are …
livestock management. Proper detection and classification of jaw movement (JM) events are …
A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle
Monitoring the foraging behaviour of ruminants is a key task to improve their productivity and
welfare. During the last decades, several monitoring approaches have been proposed …
welfare. During the last decades, several monitoring approaches have been proposed …