Evidence map›Paper›PMID 41856098›Full record

ArticleAnimal bioscience2026

- Invited Review - Precision livestock farming: from where we came and where we go.

Daniel Berckmans

Abstract read
In one paragraph

Article in Animal bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Daniel BerckmansDepartment of BioSystems and Soil Sciences, University of Tennessee, Knoxville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes how animal management was done in the past and how we evolved to continuous animal monitoring by using technology. Based upon peer-reviewed literature, we show several technologies (cameras, microphones, sensors) developed and used for monitoring and managing indoor farm animals applied to different animal species: broilers, pigs, dairy cows, and horses. The main idea in developing precision livestock farming (PLF) technology is continuous 24/7 monitoring to generate objective data for farmers, veterinarians, and other stakeholders (pharma, feed company, equipment, climate control, etc.). Development started in laboratory settings and evolved to data collection in commercial farms. This paper shows that PLF monitoring allows us to measure objective data in each term of the fundamental process equation in producing animal products: the transfer from feed energy into animal product (meat, milk, eggs, fiber, and reproduction). The accuracies obtained are impressive in several examples. Regarding where to go with PLF, we show the great importance of animal welfare in the efficiency of the production process. Improving process efficiency is key in avoiding the need for even more farm animals to be slaughtered every year to fulfill the increasing worldwide demand for animal products. Field implementation of PLF technology for continuous objective measurements on indoor farm animals, to improve the efficiency of the production process, is an important contribution to feeding the worldwide increasing demand for animal products without a high increase of the number of farm animals.

Indexed as

Continuous MonitoringDifferent Animal SpeciesPrecision Livestock FarmingProcess Efficiency

Identifiers

PMID41856098
PMCPMC13064992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.