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Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach

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Exploring research dynamics in pasture-based automatic milking systems: a bibliometric approach.

Karen Dal Magro Frigeri^1,2, Karolini Tenffen De-Sousa^3,4, Matheus Deniz^1,4

¹Grupo de Estudos em Biometeorologia, Universidade Tecnológica Federal do Paraná (UTFPR), Dois Vizinhos, PR, Brazil.

The Journal of Dairy Research

|June 17, 2026

Summary

This bibliometric analysis maps research on automated milking systems (AMS) in pasture-based settings. Key findings highlight European research, Holstein-Friesian cows, and common pasture types, identifying milk production and animal behavior as primary study areas.

Keywords:

AMS VMS dairy cow grazing voluntary milking system

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Area of Science:

Agricultural Science
Animal Science
Bibliometrics

Background:

Automatic milking systems (AMS) adoption is increasing globally.
Existing reviews focus on confined AMS, leaving pasture-based AMS research under-analyzed.
A bibliometric analysis is needed to map the scientific literature on pasture-based AMS.

Purpose of the Study:

To conduct a bibliometric analysis of pasture-based automated milking systems (AMS).
To explore and map the extent of research in the scientific literature on pasture-based AMS.
To identify research trends, gaps, and emerging areas in pasture-based AMS.

Main Methods:

Comprehensive literature search in Web of Science and Scopus databases.
PRISMA evaluation applied to 235 identified articles, resulting in a final sample of 45 articles.
Bibliometric analysis to map research extent, topics, and trends.

Main Results:

Most studies were European (44%), in research herds (79%), using Holstein-Friesian cows (76%), and employing Lely (57%) or DeLaval (30%) AMS brands.
Common pastures included white clover, perennial, and annual ryegrass.
Main research topics were milk production/composition/efficiency (33%), animal behavior (27%), and animal nutrition (16%).

Conclusions:

Concentrate allocation and heat stress are emerging research areas requiring further investigation.
This study provides insights into scientific developments, trends, and research gaps in pasture-based AMS.
Further research should address identified emerging areas to advance pasture-based AMS technology.