Methodology for automated greenhouse gas data collection and transmission to cloud repository using low-cost drones.

Antonio Carlos Daud Filho, Glauco Augusto de Paula Caurin, José Reinaldo Silva, Elinilson Vital, Emilio Carlos Nelli Silva

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Article in Environmental monitoring and assessment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing papers in PubMed

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Antonio Carlos Daud FilhoDepartment of Mechatronics and Mechanical Systems Engineering, Polytechnic School, University of São Paulo, Av. Professor Mello Moraes, 2231, São Paulo, 05508-030, São Paulo, Brazil.

Glauco Augusto de Paula Caurin *Department of Aeronautical Engineering, São Carlos School of Engineering, University of São Paulo, Av. João Dagnone, 1100, São Carlos, 13566-590, São Paulo, Brazil.

José Reinaldo Silva *Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School, University of São Paulo, Av. Professor Mello Moraes, 2231, São Paulo, 05508-030, São Paulo, Brazil. reinaldo@usp.br.

Elinilson Vital *Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School, University of São Paulo, Av. Professor Mello Moraes, 2231, São Paulo, 05508-030, São Paulo, Brazil.

Emilio Carlos Nelli Silva *Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School, University of São Paulo, Av. Professor Mello Moraes, 2231, São Paulo, 05508-030, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Greenhouse gas (GHG) emissions are crucial for monitoring and mitigating climate change and the degradation of sensitive biomes. Such demand motivates the search for automated processes to collect and manage GHG emissions data, with open access to researchers and institutions working with sustainability. This work proposes an automated data collection process using low-cost drones, with direct data transfer to a cloud-based data space. Low-cost drones were equipped with onboard sensors to measure

Indexed as

Air PollutantsData CollectionEnvironmental MonitoringGreenhouse GasesCarbon DioxideCloud ComputingMethaneAir PollutantsCarbon DioxideGreenhouse GasesMethaneCloud serviceData spaceEnvironmental monitoringGHG dataLow-cost drones

Identifiers

PMID42189321

DOI10.1007/s10661-026-15478-9

PMCPMC13212754

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LicenceCC BY

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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.