244 research outputs found
Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review
Animals play a profoundly important and intricate role in our lives today.
Dogs have been human companions for thousands of years, but they now work
closely with us to assist the disabled, and in combat and search and rescue
situations. Farm animals are a critical part of the global food supply chain,
and there is increasing consumer interest in organically fed and humanely
raised livestock, and how it impacts our health and environmental footprint.
Wild animals are threatened with extinction by human induced factors, and
shrinking and compromised habitat. This review sets the goal to systematically
survey the existing literature in smart computing and sensing technologies for
domestic, farm and wild animal welfare. We use the notion of \emph{animal
welfare} in broad terms, to review the technologies for assessing whether
animals are healthy, free of pain and suffering, and also positively stimulated
in their environment. Also the notion of \emph{smart computing and sensing} is
used in broad terms, to refer to computing and sensing systems that are not
isolated but interconnected with communication networks, and capable of remote
data collection, processing, exchange and analysis. We review smart
technologies for domestic animals, indoor and outdoor animal farming, as well
as animals in the wild and zoos. The findings of this review are expected to
motivate future research and contribute to data, information and communication
management as well as policy for animal welfare
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Efficient Drone-based Radio Tracking of Wildlife
Radio telemetry is a critical technique in conservation ecology, particularly for studying the movement and range of individuals and populations. Traditionally, most radio telemetry work is done using handheld directional antennae by using either direction-finding and homing techniques, or radio-triangulation techniques. Over the past couple decades, efforts have been made to utilize aerial vehicles to make radio telemetry tracking more efficient, or cover more area. However, many these approaches require the use of manned aircraft and specialist skill sets. The proliferation of small unmanned aerial systems (SUAS) with high reliability and ease of use, as well as recent development and application of robotic sensing and estimation, opens up the possibility of leveraging SUAS to conduct radio telemetry studies. In this thesis, I present the results of five years of development as well as the testing and deployment of a drone-based radio-telemetry tracking system that is able to track multiple targets simultaneously while operating in field conditions as part of a field expedition
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