AutoPollS: a tool for automated monitoring of pollinators using deep learning

AutoPollS: a tool for automated monitoring of pollinators using deep learning Within the ZIP provided is the following: AutoPollS on-edge software for Raspberry Pi the Offline Analysis pipeline: to install and operate the Offline Analysis pipeline please read and follow the instructions in the README.md file. Manuscript code: to recreate the figures within the manuscript. The README contains details on the full image datasets collected and analyzed within the manuscript, hosted via AWS: Sunflower: https://autopolls-mee-manuscript-data-2026.s3.us-east-2.amazonaws.com/sunflowerData.zip Alpine Meadow: https://autopolls-mee-manuscript-data-2026.s3.us-east-2.amazonaws.com/colorado_images.zip Apple Orchard: https://autopolls-mee-manuscript-data-2026.s3.us-east-2.amazonaws.com/appleData_2022_v1.zip Follow the autopolls.ai website for latest updates and code and usage. Enjoy! Corresponding authors: Matthew Smith - msmith84[at]illinoistech.edu James Crall - james.crall[at]wisc.edu