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Description / Abstract
Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science
An imaging system for acquiring electromagnetic reflectance data was specified, designed, assembled, and tested. The acquisition device captures reflectance in the 400-1000 nanometer wavelength spectrum, which is divided into three visible-light bands (red, green, and blue) and the near-infrared band. The acquired data can be manipulated in several ways to generate information about plant health, moisture content, and genus. The system is built on a Raspberry Pi 3B and uses dual imaging sensors as well as a number of position, motion, and orientation sensors, which allow the device to precisely locate the captured images. The system is designed to be mounted on an unmanned aerial vehicle in order to acquire a series of overhead images, which can later be stitched together in an orthomosaic. Onboard device-control software was also developed and tested, allowing each capture sequence to be customized with user options, which can be set locally or remotely via an integrated user interface. This system is designed such that it can be reproduced using components and production processes that are readily available to most universities, and at a fraction of the cost of comparable commercially available systems.Download this Resource
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File Size Small - 780 KB
Copyright NotesNonexclusive right to publish on file at NNU Library. Available on request
Keywordsimaging, camera, NIR, UAV, UAS
Degree AwardedBachelor of Science
Awarding InstitutionNorthwest Nazarene University
Committee MembersDale Hamilton, Julie Straight
Supervisor or ChairBarry Myers
Peer Reviewed?No
Collections With This Resource
NNU Computer Science Theses
65 Resources
- Education
- Physical Sciences and Mathematics
- English
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