Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Methods for Studying Drug Absorption: In situ

Methods for Studying Drug Absorption: In situ

In situ experiments, such as the Doluisio method and Single-Pass Perfusion technique, provide critical insights into drug uptake by simulating in vivo conditions for drug absorption.
The Doluisio method involves perfusing a prepared segment of a rat's small intestine with a solution of radiolabeled drug and a non-absorbable marker. This helps to differentiate between absorbed and non-absorbed drug concentrations. The intestinal segment is connected at both ends using tubing and syringes,...

One-Compartment Open Model for IV Bolus Administration: General Considerations

One-Compartment Open Model for IV Bolus Administration: General Considerations

The one-compartment model is a pharmacokinetic tool that models the body as a single, uniform compartment, facilitating the understanding of drug distribution and elimination. This model is particularly beneficial for intravenous (IV) bolus administration, where the drug rapidly circulates throughout the body.
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Noninvasive and minimally invasive approaches for acute and chronic stress assessment in dairy cattle.

Journal of dairy science·2026

Same author

The value of social robots supporting informal care: a discrete choice experiment among informal caregivers.

The European journal of health economics : HEPAC : health economics in prevention and care·2026

Same author

Stochastic virtual population in type 1 diabetes.

PloS one·2026

Same author

Improving the value of population health data for health policy and decision-making using machine learning algorithms in EQ-5D-5L index estimation.

Scientific reports·2026

Same author

Bioinformatics-Inspired IMU Stride Sequence Modeling for Fatigue Detection Using Spectral-Entropy Features and Hybrid AI in Performance Sports.

Sensors (Basel, Switzerland)·2026

Same author

Algorithm-assisted individualized therapy design improves survival in a mouse model of triple-negative breast cancer.

NPJ precision oncology·2026

Search research articles

Related Experiment Video

Updated: Aug 27, 2025

Bovine Mammary Gland Biopsy Techniques

Bovine Mammary Gland Biopsy Techniques

Published on: December 23, 2018

Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods.

Éva Hajnal¹, Levente Kovács², Gergely Vakulya¹

¹Alba Regia Technical Faculty, Óbuda University, 1034 Budapest, Hungary.

Sensors (Basel, Switzerland)

|September 23, 2022

Summary

Continuous monitoring of dairy cows using rumen bolus sensors and artificial intelligence can improve animal welfare and farm economics. This technology offers lifelong monitoring for better animal husbandry practices.

Keywords:

artificial intelligence dairy cattle data processing machine learning rumen bolus

More Related Videos

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

Catheterization of Intestinal Loops in Ruminants

Catheterization of Intestinal Loops in Ruminants

Published on: June 11, 2009

Related Experiment Videos

Last Updated: Aug 27, 2025

Bovine Mammary Gland Biopsy Techniques

Bovine Mammary Gland Biopsy Techniques

Published on: December 23, 2018

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

Catheterization of Intestinal Loops in Ruminants

Catheterization of Intestinal Loops in Ruminants

Published on: June 11, 2009

Area of Science:

Animal Science
Agricultural Engineering
Data Science

Background:

Increasing dairy farm animal numbers and reducing labor costs are global trends.
Balancing economic viability with animal welfare necessitates continuous animal monitoring.
Rumen bolus sensors offer a promising solution for lifelong animal surveillance.

Purpose of the Study:

To review rumen bolus sensor techniques for continuous dairy animal monitoring.
To evaluate data transmission, processing, and artificial intelligence applications in this field.
To provide recommendations for hardware and data analysis technologies.

Main Methods:

Literature review focused on rumen bolus sensor technology.
Analysis of applied sensory modalities, data transmission, and processing techniques.
Prioritization of artificial intelligence methods in data analysis.

Main Results:

Rumen bolus sensors enable lifelong monitoring of dairy animals.
Artificial intelligence significantly enhances data analysis capabilities.
Data processing involves at least four distinct levels, from measurement to integrated analysis.

Conclusions:

Continuous monitoring via rumen bolus sensors is key to addressing conflicting demands in dairy farming.
Effective implementation requires modern computer science and intelligent data analysis at all processing levels.
This integrated approach can lead to significant advancements in economical animal husbandry and welfare.