Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring …

Open AccessThis article is freely available re-usable Sensors 2016, 16(1), 97; doi:10.3390/s16010097 (registering DOI) Article 1 Australian Research Centre for Aerospace Automation (ARCAA), Queensland University of Technology (QUT), 2 George St, Brisbane QLD 4000, Australia 2 ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS), Queensland University of Technology (QUT), 2 George St, Brisbane QLD 4000, Australia 3 Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9EZ, UK * Author to whom correspondence should be addressed. Received: 15 September 2015 / Revised: 5 January 2016 / Accepted: 5 January 2016 / Published: 14 January 2016 No Surveying threatened and invasive species to obtain accurate population estimates is an important but challenging task that requires a considerable investment in time and resources. Estimates using existing ground-based monitoring techniques,…


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