Date of Award:
5-2017
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Computer Science
Committee Chair(s)
Vladimir Kulyukin
Committee
Vladimir Kulyukin
Committee
Nicholas Flann
Committee
Haitao Wang
Abstract
Honey bee (Apis mellifera) is one of the most important pollinating species in agriculture. The decline in the bee population worldwide is a sign of something going amiss in the environment. This decrease in the population is attributed to the Colony Collapse Disorder (CCD). In this thesis, a power analysis is presented of a solar-powered, multi-sensor electronic beehive monitoring (EBM) system. EBM may contribute to our understanding of the major factors affecting the health of honeybee colonies without disturbing the colonies' daily behavioral patterns or putting extra burdens on beekeepers. The EBM system analyzed in this thesis runs on the Raspberry Pi model B+ with temperature, audio, camera, and distance sensors attached to it. The power analysis is done using two different batteries to find out which battery reduces the cost and increases the energy efficiency of the system.
Checksum
d49dc998395ad703233dea042937d308
Recommended Citation
Shah, Keval, "Power Analysis of Continuous Data Capture in BeePi, a Solar- Powered Multi-Sensor Electronic Beehive Monitoring System for Langstroth Beehives" (2017). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 6507.
https://digitalcommons.usu.edu/etd/6507
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