Assessment of Metaverse wearable technologies for smart livestock farming through a neuro quantum spherical fuzzy decision-making model

F Ecer, İY Ögel, H Dinçer, S Yüksel - Expert Systems with Applications, 2024 - Elsevier
Livestock wearable technologies are innovations designed to ensure livestock health
management. However, the user aspect of these devices from farmers' perspective is still …

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

R Hu, WH Su, JL Li, Y Peng - Computers and Electronics in Agriculture, 2024 - Elsevier
Competition for nutrients between intra-row weeds and cultivated vegetables is a major
contributor to reduced crop yields. Compared with manual weeding, intelligent robots can …

[HTML][HTML] Monitoring activity index and behaviors of cage-free hens with advanced deep learning technologies

X Yang, R Bist, B Paneru, L Chai - Poultry Science, 2024 - Elsevier
Chickens' behaviors and activities are important information for managing animal health and
welfare in commercial poultry houses. In this study, convolutional neural networks (CNN) …

Few-shot learning-based human behavior recognition model

V Mahalakshmi, M Sandhu, M Shabaz, I Keshta… - Computers in Human …, 2024 - Elsevier
Scope The challenges of human behavior recognition based on sensor data often require
addressing the needs of various new users in real-world situations, which leads to difficulties …

PD-YOLO: A study of daily behavioural detection in housed sheep

J Wang, Y Zhai, L Zhu, L Xu, H Yuan - PLoS One, 2024 - journals.plos.org
Sheep behavior recognition helps to monitor the health status of sheep and prevent the
outbreak of infectious diseases. Aiming at the problems of low detection accuracy and slow …

Unsupervised Domain Adaptation for Mitigating Sensor Variability and Interspecies Heterogeneity in Animal Activity Recognition

SH Ahn, S Kim, DH Jeong - Animals, 2023 - mdpi.com
Simple Summary This study aimed to improve animal activity recognition (AAR) using
wearable sensor data, which often faces challenges due to sensor variability and individual …

[HTML][HTML] Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data

MAI Mozumder, TP Theodore Armand, RI Sumon… - Sensors, 2024 - mdpi.com
The health, safety, and well-being of household pets such as cats has become a challenging
task in previous years. To estimate a cat's behavior, objective observations of both the …

Behavior classification and spatiotemporal analysis of grazing sheep using deep learning

Z Jin, H Shu, T Hu, C Jiang, R Yan, J Qi… - … and Electronics in …, 2024 - Elsevier
Monitoring multiple behavioral patterns and grazing trajectories of individual sheep can
provide valuable information for various aspects of livestock production. The emergence of …

Proposing an artificial intelligence maturity model to illustrate a road map for cleaner animal farming management

E Shakeripour, MH Ronaghi - Operations Management Research, 2024 - Springer
Traditional agriculture has jeopardized national resources given the limited availability of
natural resources. On the other hand, artificial intelligence (AI) has resulted in more efficient …

Tracking and monitoring of individual pig behavior based on YOLOv5-Byte

S Tu, Y Cai, Y Liang, H Lei, Y Huang, H Liu… - … and Electronics in …, 2024 - Elsevier
In the precision-driven field of intelligent livestock breeding, the accurate monitoring and
tracking of individual pig behaviors are crucial for assessing health and preventing disease …