Evidence map›Paper›PMID 40230886›Full record

ArticleHardwareX2025

Autonomous water sampling and quality monitoring in remote locations: A novel approach using a remote-controlled boat.

Ashish Shukla, Robert Ross, Bishakh Bhattacharya, Alex Stumpf

Abstract read
In one paragraph

Article in HardwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Ashish ShuklaDepartment of Design, Indian Institute of Technology Kanpur, Kanpur, UP, India.
Robert RossDepartment of Engineering, School of Computing, Engineering and Mathematical Sciences, La Trobe University, Bundoora, Melbourne, Australia.
Bishakh BhattacharyaDepartment of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, UP, India.
Alex StumpfDepartment of Engineering, School of Computing, Engineering and Mathematical Sciences, La Trobe University, Bundoora, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality varies widely across the globe due to numerous sources of contamination. This disparity emphasizes the urgent need to achieve UN Sustainable Development Goal 6, which aims to ensure universal access to clean water and sanitation. Traditional water monitoring approaches often come with high costs, limited time fidelity, and the absence of territorial dimensionality (often at fixed points). These approaches rely on either manual sampling or stationary buoy platforms, which are labour-intensive and cannot be easily accessed to retrieve water samples (for stationary systems). This paper presents an inexpensive, modified remote-controlled (RC) boat based water monitoring system that is open source, compact, robust, highly adaptable and capable of traversing various riverine environments to collect water and perform samples anywhere within the water body. The solution enhances data quality, facilitates laboratory microbiological investigation, and provides combined water quality data and water samples for comprehensive analysis. The platform comprises a remotely operated boat equipped with lab-grade sensors (pH, dissolved oxygen, conductivity, ORP, temperature) and a sonar depth sensor. It efficiently collects high-resolution spatio-temporal water-quality data with a high accuracy RTK-GPS system and allows eight separate water samples to be collected at different locations. The sensors were validated using lab-grade equipment, followed by successful field testing that confirmed their accuracy and reliability in real-world conditions.

Indexed as

Autonomous water samplingGeotemporal water analysisMicrobial analysisRemote water monitoringUnmanned Surface Vehicle (USV)

Identifiers

PMID40230886
PMCPMC11995798

What OpenQuestion holds

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Registered trials

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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.