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

Key Elements for Plant Nutrition

Key Elements for Plant Nutrition

Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...

Plant Breeding and Biotechnology

Plant Breeding and Biotechnology

Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.

Bioreactor Controls-I

Bioreactor Controls-I

Maintaining optimal conditions within fermenters is essential for maximizing microbial productivity and ensuring process efficiency. This lesson focuses on key parameters—temperature, foam, pH, carbon dioxide, oxygen, and pressure—and their precise measurement and control strategies in fermentation systems.Temperature ControlTemperature regulation is critical due to the exothermic nature of many fermentation processes. In small laboratory fermenters, temperature is commonly...

Optimal Foraging

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

Bioreactor Design and Operational System

Bioreactor Design and Operational System

Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...

You might also read

Related Articles

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

Sort by

Same author

Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis.

IEEE transactions on medical imaging·2026

Same author

A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections.

Sensors (Basel, Switzerland)·2024

Same author

An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks.

IEEE transactions on pattern analysis and machine intelligence·2023

Same author

Incidental detection of prostate cancer with computed tomography scans.

Scientific reports·2021

Same author

Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach.

Journal of synchrotron radiation·2021

Same author

A Review on Map-Merging Methods for Typical Map Types in Multiple-Ground-Robot SLAM Solutions.

Sensors (Basel, Switzerland)·2020

Search research articles

Related Experiment Video

Updated: May 5, 2026

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

Modernizing Livestock Operations: Smart Feedlot Technologies and Their Impact.

Son D Dao¹, Amirali Khodadadian Gostar¹, Ruwan Tennakoon²

¹School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.

Animals : an Open Access Journal From MDPI

|May 4, 2026

Summary

This summary is machine-generated.

Precision Livestock Farming technologies in smart feedlots enhance beef production through continuous monitoring. AI-driven insights improve animal health, welfare, and performance, optimizing resource use.

Keywords:

animal welfare beef cattle computer vision feedlot precision livestock farming smart agriculture

More Related Videos

Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

Published on: July 19, 2018

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Published on: June 14, 2024

Related Experiment Videos

Last Updated: May 5, 2026

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

Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

Published on: July 19, 2018

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Published on: June 14, 2024

Area of Science:

Agricultural Science
Animal Science
Engineering

Background:

Smart feedlots increasingly use Precision Livestock Farming (PLF) for individual animal monitoring in beef production.
This review synthesizes evidence on digital infrastructure, sensing technologies, and AI for proactive management.

Purpose of the Study:

To review the current state and future directions of PLF technologies in smart feedlots.
To identify key components, reported outcomes, and barriers to adoption.

Main Methods:

Narrative review of ~350 academic publications (117 cited), industry deployments, and expert experience.
Analysis of digital infrastructure, animal identification/sensing, machine vision, and AI analytics.

Main Results:

PLF technologies are progressing from proof-of-concept to commercial application.
Outcomes include reduced manual observation, earlier disease detection, and standardized welfare auditing.
Vision-based and automated weighing methods show high accuracy for health and growth monitoring.
Precision feeding improves feed utilization, with variable adoption.

Conclusions:

Key priorities for scalable deployment include resilient communication, edge-cloud strategies, and multi-sensor data fusion.
Persistent barriers include cost, durability, integration, data governance, and workforce skills.