Utilizing Low-Cost Air Quality Detection Systems to Analyze PM 2.5 Levels
Nithya Parepally
Mentored by Victoria Campbell (REDD)
Although air quality monitoring is crucial to public health and safety, conventional sensors are often costly and include a limited quantity of monitoring stations. With several stages of evaluation and development, low-cost air quality sensors may supplement reference based monitoring, utilizing networks of small, portable devices. Through the development of a drone-mounted air quality sensing device, this project aims to create a low-cost and spatially heterogeneous approach to air quality sensing.