The article reviews recent developments in low-cost air quality sensor networks, covering applications such as mobile and drone-based monitoring, data fusion, and citizen science. It highlights key challenges, including the lack of standardized performance metrics and protocols, difficulties in data sharing and integration, and uncertainties in measurementsespecially in mobile and model-based applications. It also points out practical limitations in deployment and barriers to scaling citizen science, emphasizing the need for better standardization, validation methods, and collaborative frameworks.
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