Researcher ORCID Identifier


Graduation Year


Document Type

Open Access Senior Thesis

Degree Name

Bachelor of Science



Reader 1

Matina Donaldson-Matasci

Reader 2

Eliot Bush

Terms of Use & License Information

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Rights Information

2020 Arya R Massarat


Poor nutrition among modern day honey bee colonies is contributing to their decline. Yet understanding how the diversity and abundance of flowering species around a colony affects its health remains difficult because of the manual labor required to analyze these large foraging landscapes. We describe a procedure for automatically mapping the species of flowering plants around a colony from overlapping drone images. We developed a pipeline for stitching the images together, identifying plants within them, and classifying each plant by its species. The resulting map of the flowering species surrounding a colony could be used in future experiments that aim to assess how a colony’s health and foraging behavior is influenced by the spatial distribution of the floral species in its vicinity.


Source code and documentation for the pipeline is available on Github.