Evidence map›Paper›PMID 42071939›Full record

ArticleAnimals : an open access journal from MDPI2026

Smart Enough? What Italian Farmers Reveal About Dairy Cow Technologies: A Survey Study.

Martina Lamanna, Edlira Muca, Chiara Montano, Marco Bovo, Francesco Petretto, Riccardo Colleluori, Andrea Formigoni, Damiano Cavallini

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Predictive performance and farmer satisfaction ofVeterinary and animal science · 2026
    Article
  2. Article
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

8 authors.

Martina LamannaDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia, Italy.ORCID 0009-0003-6891-3076
Edlira MucaCollege of Veterinary Medicine, University of Al Dhaid, Sharjah P.O. Box 27272, United Arab Emirates.
Chiara MontanoDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia, Italy.
Marco BovoDepartment of Agricultural and Food Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-5757-8514
Francesco PetrettoIndependent Researcher, 07100 Sassari, Italy.
Riccardo ColleluoriDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia, Italy.
Andrea FormigoniDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia, Italy.ORCID 0000-0002-8109-2482
Damiano CavalliniDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia, Italy.ORCID 0000-0002-1642-6722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision Livestock Farming (PLF) tools are increasingly used in dairy production, but their success depends on farmers' perceptions, needs and investment capacity. This study explores the current use of digital technologies, satisfaction levels and future expectations among Italian dairy farmers. An online questionnaire with 19 questions collected 53 complete responses between May and November 2025. Most of the farms were free-stall Holstein dairy farms located in the Po Valley and managed by relatively young and well-educated farmers, many of whom had a background in animal production. The adoption of PLF tools was widespread: management software (73.6%), automated total mixed ration (TMR) preparation (66.0%), heat stress mitigation systems (62.3%) and collar sensors (52.8%) were the most adopted technologies. Satisfaction with current tools was high, although installation costs and poor system integration were consistently identified as major constraints. Farmers expressed clear priorities for future devices, particularly early diagnosis of health problems, calving, heat, lameness, and feeding and rumination functions. The results suggest that PLF in Italian dairy systems is moving from the adoption phase to that of consolidation. However, improvements in interoperability, affordability and farmer-centred design remain essential to support a wider and more equitable spread of the technology across the sector.

Indexed as

artificial intelligencedairy cowfarmer perceptionPrecision Livestock Farminguser-centred design

Identifiers

PMID42071939
PMCPMC13113817

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.