[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Broad‐scale applications of the Raspberry Pi: A review and guide for biologists
JW Jolles - Methods in Ecology and Evolution, 2021 - Wiley Online Library
The field of biology has seen tremendous technological progress in recent years, fuelled by
the exponential growth in processing power and high‐level computing, and the rise of global …
the exponential growth in processing power and high‐level computing, and the rise of global …
TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields
T Walter, ID Couzin - Elife, 2021 - elifesciences.org
Automated visual tracking of animals is rapidly becoming an indispensable tool for the study
of behavior. It offers a quantitative methodology by which organisms' sensing and decision …
of behavior. It offers a quantitative methodology by which organisms' sensing and decision …
SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers
The SMART-BARN (scalable multimodal arena for real-time tracking behavior of animals in
large numbers) achieves fast, robust acquisition of movement, behavior, communication …
large numbers) achieves fast, robust acquisition of movement, behavior, communication …
Observing the unwatchable: Integrating automated sensing, naturalistic observations and animal social network analysis in the age of big data
JE Smith, N Pinter‐Wollman - Journal of Animal Ecology, 2021 - Wiley Online Library
In the 4.5 decades since Altmann (1974) published her seminal paper on the methods for
the observational study of behaviour, automated detection and analysis of social interaction …
the observational study of behaviour, automated detection and analysis of social interaction …
Quantifying the movement, behaviour and environmental context of group‐living animals using drones and computer vision
Methods for collecting animal behaviour data in natural environments, such as direct
observation and biologging, are typically limited in spatiotemporal resolution, the number of …
observation and biologging, are typically limited in spatiotemporal resolution, the number of …
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape
New satellite remote sensing and machine learning techniques offer untapped possibilities
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
Collective animal navigation and migratory culture: from theoretical models to empirical evidence
Animals often travel in groups, and their navigational decisions can be influenced by social
interactions. Both theory and empirical observations suggest that such collective navigation …
interactions. Both theory and empirical observations suggest that such collective navigation …
Opportunities and risks in the use of drones for studying animal behaviour
L Schad, J Fischer - Methods in Ecology and Evolution, 2023 - Wiley Online Library
In the last decade, drones have become an affordable technology offering highly mobile
aerial platforms that can carry a range of sensory equipment into hitherto uncharted areas …
aerial platforms that can carry a range of sensory equipment into hitherto uncharted areas …
The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots
Collective behaviour defines the lives of many animal species on the Earth. Underwater
swarms span several orders of magnitude in size, from coral larvae and krill to tunas and …
swarms span several orders of magnitude in size, from coral larvae and krill to tunas and …