AIMC Topic: Cattle

Clear Filters Showing 361 to 370 of 426 articles

Non-destructive assessment of tissue engineered cartilage maturity using visible and near infrared spectroscopy combined with machine learning.

Biosensors & bioelectronics
Tissue engineering is a promising approach to address the unmet clinical need for treating cartilage damage. Monitoring the characteristics of tissue-engineered cartilage constructs (TECs) during culture is critical for optimizing culture conditions ...

Machine learning approaches for the prediction of retained placenta in dairy cows.

Theriogenology
Retained placenta (RP) is a reproductive disorder that causes significant financial losses to the dairy industry. Predicting RP risk in cows post-calving is a challenging task. This study aimed to evaluate the predictive capabilities of five machine ...

Comparison of Tree-Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post-Thaw Spermatological Parameters.

Veterinary medicine and science
Reproductive efficiency is a crucial determinant of livestock productivity, with sperm quality being a key factor in successful fertilization. The quantitative assessment of spermatozoa using computer-assisted sperm analysis (CASA) yields valuable ki...

Artificial intelligence meets dairy cow research: Large language model's application in extracting daily time-activity budget data for a meta-analytical study.

Journal of dairy science
This study investigates the application of ChatGPT-4 in extracting and classifying behavioral data from scientific literature, focusing on the daily time-activity budget of dairy cows. Accurate analysis of time-activity budgets is crucial for underst...

Predictive models to determine best strategy for metaphylaxis application in cattle at arrival to a feedyard.

Preventive veterinary medicine
Metaphylaxis, the application of an antimicrobial to a cohort of cattle at arrival to a feedyard, is an important bovine respiratory disease (BRD) control strategy for certain cattle populations. Predictive modeling techniques could be used to assist...

Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data.

Preventive veterinary medicine
Mastitis in dairy cows is one of the most important issues that not only pose risk to animal health and welfare but also cause huge direct and indirect economic losses to the dairy sector. In recent times, automated milking systems (AMS) have gained ...

Computer vision systems for monitoring hutch-housed dairy calves.

Journal of dairy science
Computer vision systems (CVS) have emerged as a powerful technology for animal monitoring. However, there is limited research on CVS for behavior monitoring of hutch-housed dairy calves, which account for >50% of all calf housing in the United States...

Color-independent cattle identification using keypoint detection and Siamese neural networks in closed- and open-set scenarios.

Journal of dairy science
Computer vision systems offer identification solutions for animals with distinct coat patterns but are less effective for solid-colored herds. Another complication in real-world conditions is when new animals are introduced or removed from the herd, ...

Integrated multi-omics reveals the impact of ruminal keystone bacteria and microbial metabolites on average daily gain in Xuzhou cattle.

Microbiology spectrum
UNLABELLED: The rumen microbiome plays a crucial role in determining the metabolic and digestive efficiency of livestock. Despite its crucial role, the impact of the rumen microbiome on average daily gain (ADG) in Xuzhou cattle remains underexplored....

Deep learning-driven hyperspectral imaging for real-time monitoring and growth modeling of psychrophilic spoilage bacteria in chilled beef.

International journal of food microbiology
Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychrophilic bacteria, resulting in quality deterioration and corruption, which leads to food safety problems. In this study, the growth of Pseudomonas and ...