ReviewSensors (Basel, Switzerland)2024
Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors.
Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Global, Interdisciplinary Research to Guide a Secure and Sustainable Expansion of Mineral Supply Chains.Environmental science & technology letters · 2026Review
- A Wireless Sensor Network for High Spatial and Temporal Resolution Soil Gas Emission Monitoring.Sensors (Basel, Switzerland) · 2026Article
- A Low-Cost, Open-Source, In Situ, Near-Real-Time Sensor for the Detection of Nitrate and Ammonia in Environmental Waters.ACS ES&T water · 2026Article
- Metrological Characterization of Low-Cost COSensors (Basel, Switzerland) · 2026Article
- Artificial intelligence in bread making: Applications in quality control, formulation and sensory prediction.Food chemistry: X · 2026Review
- Ambient PMCurrent environmental health reports · 2026Review
- Three Key Aspects of Electron Transfer Behavior in Single-Electrode Triboelectric Nanogenerators for Sensing Optimization.Sensors (Basel, Switzerland) · 2025Article
- Managing and monitoring indoor air quality and surface decontamination in healthcare environments.Arhiv za higijenu rada i toksikologiju · 2025Review
- Liquid-Solid Triboelectric Nanogenerators in Physical and Chemical Sensors-A Review.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Enhancing ATMO-Street model accuracy through emission source analysis using a dense sensor network: a Warsaw case study.Environmental monitoring and assessment · 2025Article
- Progress in Nickel MOF-Based Materials for Electrochemical Biosensor and Supercapacitor Applications.Biosensors · 2025Review
- In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings.Sensors (Basel, Switzerland) · 2025Article
- Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping.Sensors (Basel, Switzerland) · 2025Article
- Machine Learning-Based Calibration and Performance Evaluation of Low-Cost Internet of Things Air Quality Sensors.Sensors (Basel, Switzerland) · 2025Article
- Recent Advances in Urinometers: Enhancing Monitoring of Urine Output, pH, and Color: A Narrative Review.Journal of pharmacy & bioallied sciences · 2025Review
- An open source ultrasonic flowmeter for monitoring the input/output flow rates of wastewater treatment plants.HardwareX · 2025Article
- Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning.Sensors (Basel, Switzerland) · 2025Article
- Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of low-cost environmental sensors has gained significant attention due to their affordability and potential to intensify environmental monitoring networks. These sensors enable real-time monitoring of various environmental parameters, which can help identify pollution hotspots and inform targeted mitigation strategies. Low-cost sensors also facilitate citizen science projects, providing more localized and granular data, and making environmental monitoring more accessible to communities. However, the accuracy and reliability of data generated by these sensors can be a concern, particularly without proper calibration. Calibration is challenging for low-cost sensors due to the variability in sensing materials, transducer designs, and environmental conditions. Therefore, standardized calibration protocols are necessary to ensure the accuracy and reliability of low-cost sensor data. This review article addresses four critical questions related to the calibration and accuracy of low-cost sensors. Firstly, it discusses why low-cost sensors are increasingly being used as an alternative to high-cost sensors. In addition, it discusses self-calibration techniques and how they outperform traditional techniques. Secondly, the review highlights the importance of selectivity and sensitivity of low-cost sensors in generating accurate data. Thirdly, it examines the impact of calibration functions on improved accuracies. Lastly, the review discusses various approaches that can be adopted to improve the accuracy of low-cost sensors, such as incorporating advanced data analysis techniques and enhancing the sensing material and transducer design. The use of reference-grade sensors for calibration and validation can also help improve the accuracy and reliability of low-cost sensor data. In conclusion, low-cost environmental sensors have the potential to revolutionize environmental monitoring, particularly in areas where traditional monitoring methods are not feasible. However, the accuracy and reliability of data generated by these sensors are critical for their successful implementation. Therefore, standardized calibration protocols and innovative approaches to enhance the sensing material and transducer design are necessary to ensure the accuracy and reliability of low-cost sensor data.
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What OpenQuestion holds
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.