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Empowering Wildlife Guardians: An Equitable Digital Stewardship and
  Reward System for Biodiversity Conservation using Deep Learning and 3/4G
  Camera Traps

Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps

Remote Sensing (RS), 2023
25 April 2023
Paul Fergus
C. Chalmers
Steven Longmore
Serge Wich
Carmen Warmenhove
J. Swart
Thuto Ngongwane
A. Burger
J. Ledgard
E. Meijaard
ArXiv (abs)PDFHTML

Papers citing "Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps"

2 / 2 papers shown
Title
Towards Context-Rich Automated Biodiversity Assessments: Deriving
  AI-Powered Insights from Camera Trap Data
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap DataItalian National Conference on Sensors (INS), 2024
Paul Fergus
C. Chalmers
Naomi Matthews
Stuart Nixon
A. Burger
Oliver Hartley
Chris S. Sutherland
Xavier Lambin
Steven Longmore
Serge Wich
280
4
0
21 Nov 2024
Harnessing Artificial Intelligence for Wildlife Conservation
Harnessing Artificial Intelligence for Wildlife Conservation
Paul Fergus
C. Chalmers
Steve Longmore
Serge Wich
203
19
0
30 Aug 2024
1