Evidence map›Paper›PMID 41228955›Full record

ArticleSensors (Basel, Switzerland)2025

A UAV-Based System for Validating a Backward Lagrangian Stochastic Model in a Dairy Cattle Farm.

Alessio Mattia, Valentina Becciolini, Leonardo Conti, Marco Merlini, Patricia Ferreira Ponciano Ferraz, Gabriel Araújo E Silva Ferraz, Jacqueline Cardoso Ferreira, Franck Morais de Oliveira, Giuseppe Rossi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Alessio MattiaDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Via di San Bonaventura 13, 50145 Florence, Italy.ORCID 0000-0002-1700-2753
Valentina BeccioliniDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Via di San Bonaventura 13, 50145 Florence, Italy.ORCID 0000-0002-1344-4634
Leonardo ContiDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Via di San Bonaventura 13, 50145 Florence, Italy.ORCID 0000-0002-4181-5893
Marco MerliniDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Via di San Bonaventura 13, 50145 Florence, Italy.ORCID 0009-0002-7284-6198
Patricia Ferreira Ponciano FerrazDepartment of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil.ORCID 0000-0002-9708-0259
Gabriel Araújo E Silva FerrazDepartment of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil.ORCID 0000-0001-6403-2210
Jacqueline Cardoso FerreiraDepartment of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil.ORCID 0000-0001-6983-4634
Franck Morais de OliveiraDepartment of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil.ORCID 0000-0002-6322-6424
Giuseppe RossiDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Via di San Bonaventura 13, 50145 Florence, Italy.ORCID 0000-0003-0211-9294

Funding

European Union - Next generation EU, Mission 4, Component 1, for Research Projects of Relevant National Interest (PRIN PNRR 2022) of the Italian Ministry of University and Research (MUR) G53D23003800001
6 · The paper itself

Abstract

This study characterizes a compost-bedded pack barn of a dairy cattle farm in terms of CO

Indexed as

DairyingEnvironmental MonitoringRemote Sensing TechnologyUnmanned Aerial DevicesAnimalsCarbon DioxideCattleFarmsStochastic ProcessesCarbon Dioxideatmospheric dispersionCO2 emissionscompost barndroneGHGNDIRWindTrax

Identifiers

PMID41228955
PMCPMC12610183

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.