Honey bees and native bees such as bumble bees are important pollinators in both natural and agricultural ecosystems. However, bees of both kinds are disappearing, and one of the key factors implicated in their decline is changes in land use which limit both the quantity and diversity of floral resources available to them. Traditional methods for assessing where flowers are tend to be either too labor-intensive to carry out on a large scale (ground-based surveys) or lack sufficient detail to discern individual flowering plants (satellite imaging). We have begun to explore high-resolution drone-based imaging methods, which provide greater detail than satellite images but scale up more easily than ground-based surveys. In this project, the student will continue developing and testing an existing method using computer vision and machine learning to create high-resolution maps of patches of flowers at a scale relevant to foraging bees.
In previous years, we have used a drone to collect detailed overhead photos of flowering plants within the Bernard Field Station, and recorded bee visitation at some of these plants. We have developed a software pipeline which stitches together those photos, then efficiently and accurately segments the images into plants vs. background, and classifies the plants as flowering buckwheat plants or something else. We would now like to test and improve the code to work for multiple species of flowering plants, using some combination of (1) our own existing data, (2) new data collected at the field station (coordinating with another summer project, Honey Bee Communication & Collective Decision-Making), and (3) data from the National Ecological Observatory Network. This will involve training and testing the pipeline on new data, evaluating its performance, and improving the segmentation and machine learning steps.
Essay Prompt: What interests you about this project and what do you hope to gain from the research experience? What makes you a good fit for this project?
To complete your application for summer research in Biology, please contact me to discuss the project and submit this google form by Feb 28. If you have any questions or want to learn more, I encourage you to contact me before submitting your application.
You will be part of a team of students working on a set of related interdisciplinary projects, using mathematics, computation and engineering to solve problems of biological interest. The variety of techniques and approaches will give you an opportunity to explore your interests and develop new skills. There may be opportunities to continue the work in a senior thesis, present at a regional or national conference, and/or co-author future publications.