Food traceability system from governmental, corporate, and consumer perspectives in the European Union and China: A comparative review

J Qian, L Ruiz-Garcia, B Fan, JIR Villalba… - Trends in Food Science …, 2020 - Elsevier
Background Food safety has garnered much worldwide attention recently for reasons that
are, unfortunately, not always positive. Traceability system (TS) is designed to assure safe …

The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence

S Fuentes, CG Viejo, E Tongson… - Animal health research …, 2022 - cambridge.org
Livestock welfare assessment helps monitor animal health status to maintain productivity,
identify injuries and stress, and avoid deterioration. It has also become an important …

From classical methods to animal biometrics: A review on cattle identification and tracking

AI Awad - Computers and electronics in agriculture, 2016 - Elsevier
Cattle, buffalo and cow, identification has recently played an influential role towards
understanding disease trajectory, vaccination and production management, animal …

Combining convolutional and vision transformer structures for sheep face recognition

X Li, Y **ang, S Li - Computers and Electronics in Agriculture, 2023 - Elsevier
Significant progress has been made in individual livestock recognition based on
convolutional neural networks (CNN), however, their performance still needs improvement …

Review on methods used for wildlife species and individual identification

T Petso, RS Jamisola Jr, D Mpoeleng - European Journal of Wildlife …, 2022 - Springer
This work presented a literature review on animal species and individual identification tools,
as well as animal monitoring capabilities. We gathered the literature to cover different …

Biometric identification of sheep via a machine-vision system

A Hitelman, Y Edan, A Godo, R Berenstein… - … and Electronics in …, 2022 - Elsevier
This paper describes a sheep biometric identification system based on facial images. A
machine vision system and deep learning model were developed and applied for animal …

Automated muzzle detection and biometric identification via few-shot deep transfer learning of mixed breed cattle

A Shojaeipour, G Falzon, P Kwan, N Hadavi… - Agronomy, 2021 - mdpi.com
Automated Muzzle Detection and Biometric Identification via Few-Shot Deep Transfer Learning
of Mixed Breed Cattle Next Article in Journal Isolation and Identification of Antibacterial and …

[HTML][HTML] Using pruning-based YOLOv3 deep learning algorithm for accurate detection of sheep face

S Song, T Liu, H Wang, B Hasi, C Yuan, F Gao, H Shi - Animals, 2022 - mdpi.com
Simple Summary The identification of individual animals is an important step in the history of
precision breeding. It has a great role in both breeding and genetic management. The …

Biometric facial identification using attention module optimized YOLOv4 for sheep

X Zhang, C Xuan, Y Ma, H Su, M Zhang - Computers and Electronics in …, 2022 - Elsevier
Automatic identification of individual animals is an important step in modern farm breeding.
Current best practice involves the use of RFID tags which are time-consuming for the farmer …

Biometric cattle identification approach based on Weber's Local Descriptor and AdaBoost classifier

T Gaber, A Tharwat, AE Hassanien, V Snasel - Computers and Electronics …, 2016 - Elsevier
In this paper, we proposed a new and robust biometric-based approach to identify head of
cattle. This approach used the Weber Local Descriptor (WLD) to extract robust features from …