Behaviour 2019
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Smart Nest Boxes: Remotely Collecting Avian Data Utilizing Unique Resources within Community Colleges
Dylan Smith1, Michael Bates1, Landon Sokol1, Tychique Kutalu1, Kayla Kreizel1, Elizabeth Ewing1, Jenessa Grooms1, Andres Espino1, Alejandro Espino1, Alex Koch1, Lauren Gillespie1, Steve Heinisch1, Neil Grandgenett2. 1Central Community College, Columbus, NE, United States; 2Central Community College, Columbus, NE, United States; 3Central Community College, Columbus, NE, United States; 4Central Community College, Columbus, NE, United States; 5Central Community College, Columbus, NE, United States; 6Central Community College, Columbus, NE, United States; 7Central Community College, Columbus, NE, ; 8Central Community College, Columbus, NE, United States; 9Central Community College, Columbus, NE, United States; 10Central Community College, Columbus, NE, United States; 11Central Community College, Columbus, NE, United States; 12Central Community College, Columbus, NE, United States; 13University of Nebraska-Omaha, Omaha, NE, United States

We are a community college student-cohort funded by a National Science Foundation S-STEM scholarship program proposing a project bridging gaps across disciplines while providing technology to avian (or mammalian) cavity-nesting researchers or enthusiasts. We are evolving iterations of a “smart” nest box intended: 1) to obtain logistically difficult data (e.g. specific behavior or song-recordings), 2) to reduce nest disturbance while monitoring breeding, and, 3) to create a cost-efficient, accessible model. We will utilize 3-D printing and design to assist housing and powering data collection technology and integrate sensing technologies utilized in quality assurance industrial manufacturing. Utilizing Raspberry Pi and python, we will build on troubleshooting suggestions of other smart boxes models, such as creating specific algorithms to vary minimum frame rates of cameras during set time periods, and, to increase them as necessary based on bird activity levels to reduce power consumption. We plan to build and test this system in the upcoming 2019 breeding season and report specific methods and results of data collected.