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Animal Welfare

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In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle.

Scientific reports
Precision livestock farming technologies are used to monitor animal health and welfare parameters continuously and in real time in order to optimize nutrition and productivity and to detect health issues at an early stage. The possibility of predicti...

Postural behavior recognition of captive nocturnal animals based on deep learning: a case study of Bengal slow loris.

Scientific reports
The precise identification of postural behavior plays a crucial role in evaluation of animal welfare and captive management. Deep learning technology has been widely used in automatic behavior recognition of wild and domestic fauna species. The Asian...

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

Animal health research reviews
Livestock welfare assessment helps monitor animal health status to maintain productivity, identify injuries and stress, and avoid deterioration. It has also become an important marketing strategy since it increases consumer pressure for a more humane...

A high-precision facial recognition method for small-tailed Han sheep based on an optimised Vision Transformer.

Animal : an international journal of animal bioscience
Accurate identification of individual animals plays a pivotal role in enhancing animal welfare and optimising farm production. Although Radio Frequency Identification technology has been widely applied in animal identification, this method still exhi...

Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation.

Sensors (Basel, Switzerland)
This technical note critically evaluates the transformative potential of Artificial Intelligence (AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus on the novel application of the Internet of Things (IoT) i...

Non-destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review.

Comprehensive reviews in food science and food safety
The egg is considered one of the best sources of dietary protein, and has an important role in human growth and development. With the increase in the world's population, per capita egg consumption is also increasing. Ground-breaking technological dev...

Automated monitoring of brush use in dairy cattle.

PloS one
Access to brushes allows for natural scratching behaviors in cattle, especially in confined indoor settings. Cattle are motivated to use brushes, but brush use varies with multiple factors including social hierarchy and health. Brush use might serve ...

Deep learning strategies with CReToNeXt-YOLOv5 for advanced pig face emotion detection.

Scientific reports
This study underscores the paramount importance of facial expressions in pigs, serving as a sophisticated mode of communication to gauge their emotions, physical well-being, and intentions. Given the inherent challenges in deciphering such expression...

Dynamics of changes in broiler spatial distribution induced by a robot with autonomous navigation along the growing cycle.

Poultry science
Welfare problems in broiler chickens are associated with accelerated growth in high density and barren environments. Encouraging broiler movement yields benefits by increasing locomotion, foraging, and environmental exploration. Robot sensors with au...

Monitoring activity index and behaviors of cage-free hens with advanced deep learning technologies.

Poultry science
Chickens' behaviors and activities are important information for managing animal health and welfare in commercial poultry houses. In this study, convolutional neural networks (CNN) models were developed to monitor the chicken activity index. A datase...