Evidence map›Paper›PMID 29494560›Full record

ArticleSensors (Basel, Switzerland)2018

Design and Deployment of Low-Cost Sensors for Monitoring the Water Quality and Fish Behavior in Aquaculture Tanks during the Feeding Process.

Lorena Parra, Sandra Sendra, Laura García, Jaime Lloret

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  15. A Low-Cost Continuous Turbidity Monitor.Sensors (Basel, Switzerland) · 2019
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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

4 authors.

Lorena ParraInstituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, 46022 Valencia, Spain. loparbo@doctor.upv.es.
Sandra SendraDep. de Teoría de la Señal, Telemática y Comunicaciones, ETS Ingenierías Informática y de Telecomunicación, Universidad de Granada, C/Periodista Daniel Saucedo Aranda, s/n, E-18071 Granada, Spain. ssendra@ugr.es.ORCID 0000-0001-9556-9088
Laura GarcíaInstituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, 46022 Valencia, Spain. laugarg2@teleco.upv.es.
Jaime LloretInstituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, 46022 Valencia, Spain. jlloret@dcom.upv.es.ORCID 0000-0002-0862-0533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The monitoring of farming processes can optimize the use of resources and improve its sustainability and profitability. In fish farms, the water quality, tank environment, and fish behavior must be monitored. Wireless sensor networks (WSNs) are a promising option to perform this monitoring. Nevertheless, its high cost is slowing the expansion of its use. In this paper, we propose a set of sensors for monitoring the water quality and fish behavior in aquaculture tanks during the feeding process. The WSN is based on physical sensors, composed of simple electronic components. The system proposed can monitor water quality parameters, tank status, the feed falling and fish swimming depth and velocity. In addition, the system includes a smart algorithm to reduce the energy waste when sending the information from the node to the database. The system is composed of three nodes in each tank that send the information though the local area network to a database on the Internet and a smart algorithm that detects abnormal values and sends alarms when they happen. All the sensors are designed, calibrated, and deployed to ensure its suitability. The greatest efforts have been accomplished with the fish presence sensor. The total cost of the sensors and nodes for the proposed system is less than 90 €.

Indexed as

AquacultureAlgorithmsAnimalsInternetWater QualityWireless Technologyaquaculturefeeding processphysical sensorswater qualitywireless sensor network

Identifiers

PMID29494560
PMCPMC5877200

What OpenQuestion holds

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LicenceCC BY
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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.