ArticleSensors (Basel, Switzerland)2017
Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Development of an Air Temperature Observation System Using a Radiation Shield and Neural Network Correction.Sensors (Basel, Switzerland) · 2026Article
- Gaussian Process-Based Multi-Fidelity Bayesian Optimization for Optimal Calibration Point Selection.Sensors (Basel, Switzerland) · 2025Article
- Calibration of Integrated Low-Cost Environmental Sensors for Urban Air Temperature Based on Machine Learning.Sensors (Basel, Switzerland) · 2025Article
- Calibration Assessment of Low-Cost Carbon Dioxide Sensors Using the Extremely Randomized Trees Algorithm.Sensors (Basel, Switzerland) · 2023Article
- LiG Metrology, Correlated Error, and the Integrity of the Global Surface Air-Temperature Record.Sensors (Basel, Switzerland) · 2023Article
- Development and Calibration of a Low-Cost, Piezoelectric Rainfall Sensor through Machine Learning.Sensors (Basel, Switzerland) · 2022Article
- Machine Learning Methods of Regression for Plasmonic Nanoantenna Glucose Sensing.Sensors (Basel, Switzerland) · 2021Article
- Predicting Pressure Sensitivity to Luminophore Content and Paint Thickness of Pressure-Sensitive Paint Using Artificial Neural Network.Sensors (Basel, Switzerland) · 2021Article
- Calibration of Electrochemical Sensors for Nitrogen Dioxide Gas Detection Using Unmanned Aerial Vehicles.Sensors (Basel, Switzerland) · 2020Article
- Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture.Sensors (Basel, Switzerland) · 2020Article
- The Potential of Utilizing Air Temperature Datasets from Non-Professional Meteorological Stations in Brno and Surrounding Area.Sensors (Basel, Switzerland) · 2019Article
- Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2019Article
- Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The measurement of air temperature is strongly influenced by environmental factors such as solar radiation, humidity, wind speed and rainfall. This is problematic in low-cost air temperature sensors, which lack a radiation shield or a forced aspiration system, exposing them to direct sunlight and condensation. In this study, we developed a machine learning-based calibration method for air temperature measurement by a low-cost sensor. An artificial neural network (ANN) was used to balance the effect of multiple environmental factors on the measurements. Data were collected over 305 days, at three different locations in Japan, and used to evaluate the performance of the approach. Data collected at the same location and at different locations were used for training and testing, and the former was also used for
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