Date of Award

Spring 2019

Document Type

Open Access Thesis

College

College of Arts & Sciences

Department

Math & Science

Degree Name

Biology, BA

First Supervisor

Matthew Wise, Ph.D.

Abstract

The traditional method of measuring air quality uses large immobile sensors. These sensors can cost hundreds of thousands of dollars. If small, low-cost sensors are proven reliable then they can be attached to a drone for air quality management. The K30 Carbon Dioxide sensor from CO2Meter.com was used for testing. The BME280 sensor from Adafruit was used to measure humidity and temperature. A Raspberry Pi was used as an electronic controller and the programming was written in Python. After testing was completed, the K30 Carbon Dioxide sensor was found inadequate for atmospheric testing. The BME280 was determined effective for air quality sensing as long as the relative humidity was below 75%.

Included in

Biology Commons

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