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Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data
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 co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492151/ https://www.ncbi.nlm.nih.gov/pubmed/28587238 http://dx.doi.org/10.3390/s17061290 |