Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys
Abstract Imagery from drones is becoming common in wildlife research and management, but processing data efficiently remains a challenge. We developed a methodology for training a convolutional neural network model on large-scale mosaic imagery to detect and count caribou (Rangifer tarandus), compar...
Main Authors: | Javier Lenzi, Andrew F. Barnas, Abdelrahman A. ElSaid, Travis Desell, Robert F. Rockwell, Susan N. Ellis-Felege |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-28240-9 |
Similar Items
-
Nesting Common Eiders (Somateria mollissima) show little behavioral response to fixed-wing drone surveys 1
by: Susan N. Ellis-Felege, et al.
Published: (2022-01-01) -
Feral Horses and Bison at Theodore Roosevelt National Park (North Dakota, United States) Exhibit Shifts in Behaviors during Drone Flights
by: Javier Lenzi, et al.
Published: (2022-05-01) -
Personal Impacts of the Undergraduate Teaching Assistant Experience
by: Christopher J Felege, et al.
Published: (2022-06-01) -
Drone with Mounted Thermal Infrared Cameras for Monitoring Terrestrial Mammals
by: Hanne Lyngholm Larsen, et al.
Published: (2023-11-01) -
Path planning for drone swarms
by: Lin, Zhi
Published: (2024)