AG2PI Workshop #24 - Monday August 7, 2023
Virtual Fence Technology: From Raw Data Messages to Animal Energetics Models
Monday August 7, 2023
2:00 - 4:00 PM
(US Central Time)
Purpose
Demonstrate how to generate, analyze and utilize precision livestock data via GPS
Registration
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Workshop RegistrationWorkshop Resources
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Watch Workshop Recording GitHub RepositoryJournal Article:
Virtual fence (VF) systems operate via GPS-enabled collars on each animal and a three-way interaction between the
VF collars, a base station in the field, and a user interface (software) on a computer that allows users to
digitally draw
their pasture boundaries. Advancement of precision land management technologies
has tremendous potential to manage the landscape with grazing animals to strategically improve ecosystem health
and sustainability. Virtual fence collars generate large amounts of GPS data which can be challenging for
researchers to develop methods to acquire, process, warehouse, and analyze efficiently. This workshop will
focus on:
- Open source tools developed to download and process virtual fence data via an API in Python and program R
- Standards for database design
- Incorporating precision livestock data into animal nutrition models to inform livestock management
** This workshop is a product of an AG2PI seed grant **
View AG2PI Funded Seed GrantAbout Presenters
Dr. Jameson Brennan earned his Ph.D. in biological sciences with a specialization in range science and data science from South Dakota State University. His research interests include implementing precision technology to manage livestock production on extensive rangelands.
Andrew Antaya received his M.S. in Natural Resources Management from the University of Arizona. Andrew's research interests include the application of precision livestock management technologies for rangeland management in semi-arid ecosystems.
Dr. Hector Menendez is an assistant professor in the Department of Animal Science at South Dakota State University and extension livestock grazing specialist. His research interests include using systems modeling and mathematical modeling to evaluate livestock production systems.
