Evidence map›Paper›PMID 37420636›Full record

ArticleSensors (Basel, Switzerland)2023

The Smart Drifter Cluster: Monitoring Sea Currents and Marine Litter Transport Using Consumer IoT Technologies.

Silvia Merlino, Vincenzo Calabrò, Carlotta Giannelli, Lorenzo Marini, Marco Pagliai, Lorenzo Sacco, Marco Bianucci

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

7 authors.

Silvia MerlinoIstituto di Scienze Marine del Consiglio Nazionale delle Ricerche (ISMAR-CNR), 19032 Lerici, SP, Italy.ORCID 0000-0002-4537-2903
Vincenzo CalabròMDM TEAM S.r.l., 50121 Firenze, FI, Italy.ORCID 0000-0003-1246-3128
Carlotta GiannelliDepartment of Mathematics and Informatics "Ulisse Dini", University of Florence, 50134 Firenze, FI, Italy.ORCID 0000-0002-5137-1405
Lorenzo MariniMDM TEAM S.r.l., 50121 Firenze, FI, Italy.
Marco PagliaiMDM TEAM S.r.l., 50121 Firenze, FI, Italy.
Lorenzo SaccoDepartment of Mathematics and Informatics "Ulisse Dini", University of Florence, 50134 Firenze, FI, Italy.ORCID 0000-0003-2458-5421
Marco BianucciIstituto di Scienze Marine del Consiglio Nazionale delle Ricerche (ISMAR-CNR), 19032 Lerici, SP, Italy.ORCID 0000-0002-0276-2813

Funding

European Union 101000825
6 · The paper itself

Abstract

The study of marine Lagrangian transport holds significant importance from a scientific perspective as well as for practical applications such as environmental-pollution responses and prevention (e.g., oil spills, dispersion/accumulation of plastic debris, etc.). In this regard, this concept paper introduces the Smart Drifter Cluster: an innovative approach that leverages modern "consumer" IoT technologies and notions. This approach enables the remote acquisition of information on Lagrangian transport and important ocean variables, similar to standard drifters. However, it offers potential benefits such as reduced hardware costs, minimal maintenance expenses, and significantly lower power consumption compared to systems relying on independent drifters with satellite communication. By combining low power consumption with an optimized, compact integrated marine photovoltaic system, the drifters achieve unlimited operational autonomy. With the introduction of these new characteristics, the Smart Drifter Cluster goes beyond its primary function of mesoscale monitoring of marine currents. It becomes readily applicable to numerous civil applications, including recovering individuals and materials at sea, addressing pollutant spills, and tracking the dispersion of marine litter. An additional advantage of this remote monitoring and sensing system is its open-source hardware and software architecture. This fosters a citizen-science approach, enabling citizens to replicate, utilize, and contribute to the improvement of the system. Thus, within certain constraints of procedures and protocols, citizens can actively contribute to the generation of valuable data in this critical field.

Indexed as

Environmental MonitoringElectrochemical TechniquesOceans and SeasSoftware DesignTemperatureWater Pollutants, ChemicalWater Pollutants, Chemicalcitizen scienceIoTmarine currentmarine driftersmarine litter dispersionSmart Drifter Clusterwireless communication

Identifiers

PMID37420636
PMCPMC10302958

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.