ArticleHardwareX2025
Autonomous water sampling and quality monitoring in remote locations: A novel approach using a remote-controlled boat.
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.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.Sensors (Basel, Switzerland) · 2026Article
- NeuraEngineDx: An IoT condition monitoring device for Small-Scale fishing vessel engines.HardwareX · 2026Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.