期刊
DRONES
卷 5, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/drones5010008
关键词
artificial intelligence; AUV; drones; protocols; ROV; sharks; UAV
资金
- ARC LIEF Grant [LE170100007]
- Australian Government
- RTP Scholarship Centre de Recherche Insulaire et Observatoire de l'Environnement (CRIOBE)
- Colgan Foundation
- Department of Biological Science at Macquarie University
- Jock Clough Marine Foundation (Oceans Institute Robson and Robertson Award)
- NSW Department of Primary Industries (Shark Management Strategy)
- Save our Seas Foundation (Small grant) [SOSF 283]
- Sci-eye
- SeaWorld Research and Rescue Foundation [SWR/13/2018]
- Southern Cross University
- Woods Hole Oceanographic Institution
- Discovery Communications
This paper discusses the application of drones in wildlife management and research over the past decade, particularly focusing on their value and importance in shark research. Drones have helped to fill knowledge gaps about shark behavior and their significance in ecosystems, while also contributing to reducing dangerous encounters between sharks and humans. Additionally, the paper explores the future trends in drone technology for shark monitoring and research.
Over the past decade, drones have become a popular tool for wildlife management and research. Drones have shown significant value for animals that were often difficult or dangerous to study using traditional survey methods. In the past five years drone technology has become commonplace for shark research with their use above, and more recently, below the water helping to minimise knowledge gaps about these cryptic species. Drones have enhanced our understanding of shark behaviour and are critically important tools, not only due to the importance and conservation of the animals in the ecosystem, but to also help minimise dangerous encounters with humans. To provide some guidance for their future use in relation to sharks, this review provides an overview of how drones are currently used with critical context for shark monitoring. We show how drones have been used to fill knowledge gaps around fundamental shark behaviours or movements, social interactions, and predation across multiple species and scenarios. We further detail the advancement in technology across sensors, automation, and artificial intelligence that are improving our abilities in data collection and analysis and opening opportunities for shark-related beach safety. An investigation of the shark-based research potential for underwater drones (ROV/AUV) is also provided. Finally, this review provides baseline observations that have been pioneered for shark research and recommendations for how drones might be used to enhance our knowledge in the future.
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