The Beecology Project tracks pollinator populations using a webapp where citizen scientists can upload and submit videos of bumblebee-flower observations and identify the bumblebee and flower species. We extended the Beecology database, server, and webapp to include butterfly-flower observations. We developed a novel method for manually identifying butterfly species and added 120 butterfly species to the database. We also added functionality for automated butterfly and flower identification using the iNaturalist’s computer vision API.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Pecorale, Aidan
• Poulos, Jared

Subject

• Computing
• Environment
• Innovation
• Inclusion

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042822-111654
• 65121

Mot-clé

• Web application
• Pollinator decline
• Beecology

Advisor

• Ryder, Elizabeth F.
• Ruiz, Carolina

Year

• 2022

Sponsor

• National Science Foundation

UN Sustainable Development Goals

• Not Specified

Date created

• 2022-04-28

Resource type

• Major Qualifying Project

Major

• Bioinformatics & Computational Biology
• Computer Science

Rights statement

• In Copyright