BioSense: An automated sensing node for organismal and environmental biology
Automated remote sensing has revolutionized the fields of wildlife ecology and environmental science. Yet, a cost-effective and flexible approach for large scale monitoring has not been fully developed, resulting in a limited collection of high-resolution data. Here, we describe BioSense, a low-cost and fully programmable automated sensing platform for applications in bioacoustics and environmental studies. Our design offers customization and flexibility to address a broad array of research goals and field conditions. Each BioSense is programmed through an integrated Raspberry Pi computer board and designed to collect and analyze avian vocalizations while simultaneously collecting temperature, humidity, and soil moisture data. We illustrate the different steps involved in manufacturing this sensor including hardware and software design and present the results of our laboratory and field testing in southwestern United States.
Authors
- Timothy H. Keitt (ORCID: https://orcid.org/0000-0002-4587-1083)
- Andrea Contina (ORCID: https://orcid.org/0000-0002-0484-6711)
- Brian Stokes (ORCID: https://orcid.org/0000-0002-0915-6488)
- Eric S. Abelson (ORCID: https://orcid.org/0000-0003-0627-1111)
- Brendan Allison
- Kenedy F Sanchez
- Henry M Hernandez
- Anna M Kepple
- Quynhmai Tran
- Isabella Kazen
- Je'aime H Powell
- Katherine A Brown
Institutions
- University of Cambridge (GB)
- The University of Texas Rio Grande Valley (US)
- Carnegie Mellon University (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- HardwareX
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1016/j.ohx.2024.e00584
- Primary Topic
- Animal Vocal Communication and Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Texas at Austin