Date of Award:
5-2016
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Computer Science
Committee Chair(s)
Vladimir Kulyukin
Committee
Vladimir Kulyukin
Committee
Dan Watson
Committee
Nicholas Flann
Abstract
Forager traffic is the number of bees entering or exiting the bee hive over a given period of time. To estimate forager traffic, beekeepers typically take a stopwatch and count the number of bees manually over a set period of time. Forager traffic is an important health indicator of the hive. Sudden changes in forager traffic levels show that there may be an anomaly inside the hive or in the environment. There have been several attempts to automate the estimation of forager traffic in Langsthroth hives with custombuilt hardware devices. In this thesis, we argue that bee counting can be approached as a software problem. Specifically, an algorithm is proposed to estimate forager traffic using computer vision. The images are captured by a raspberry pi camera which is a part of our BeePi Electronic Bee Hive Monitor that fits in a shallow super on top of the Langsthroth hive.
Checksum
dd908d9a30ccf2844db96569eea3cb89
Recommended Citation
Reka, Sai Kiran, "A Vision-Based Bee Counting Algorithm for Electronic Monitoring of Langsthroth Beehives" (2016). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4960.
https://digitalcommons.usu.edu/etd/4960
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