Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat

Translating Marine Animal Tracking Data into Conservation Policy and Management

(2019) Graeme C. Hays et al.   TRENDS IN ECOLOGY & EVOLUTION

Drones and convolutional neural networks facilitate automated and accurate cetacean species identification and photogrammetry

(2019) Patrick C. Gray et al.   Methods in Ecology and Evolution

Importance of machine learning for enhancing ecological studies using information-rich imagery

(2019) AM Dujon et al.   Endangered Species Research

Improving the precision and accuracy of animal population estimates with aerial image object detection

(2019) Jasper A. J. Eikelboom et al.   Methods in Ecology and Evolution

Drones for research on sea turtles and other marine vertebrates – A review

(2019) Gail Schofield et al.   BIOLOGICAL CONSERVATION

Deep learning for environmental conservation

(2019) Aakash Lamba et al.   CURRENT BIOLOGY

Complex movement patterns by foraging loggerhead sea turtles outside the breeding season identified using Argos-linked Fastloc-Global Positioning System

(2018) Antoine M. Dujon et al.   Marine Ecology-An Evolutionary Perspective

Drones count wildlife more accurately and precisely than humans

(2018) Jarrod C. Hodgson et al.   Methods in Ecology and Evolution

The Chirocopter: A UAV for recording sound and video of bats at altitude

(2018) Yanqing Fu et al.   Methods in Ecology and Evolution

Detection errors in wildlife abundance estimates from Unmanned Aerial Systems (UAS) surveys: Synthesis, solutions, and challenges

(2018) Ismael V. Brack et al.   Methods in Ecology and Evolution

A dynamic ocean management tool to reduce bycatch and support sustainable fisheries

(2018) Elliott L. Hazen et al.   Science Advances

A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

(2018) Sébastien Villon et al.   Ecological Informatics

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

Machine learning to classify animal species in camera trap images: Applications in ecology

(2018) Michael A. Tabak et al.   Methods in Ecology and Evolution

Fastloc-GPS reveals daytime departure and arrival during long-distance migration and the use of different resting strategies in sea turtles

(2017) Antoine M. Dujon et al.   MARINE BIOLOGY

Aerial and underwater surveys reveal temporal variation in cleaning-station use by sea turtles at a temperate breeding area

(2017) G Schofield et al.   MARINE ECOLOGY PROGRESS SERIES

A groundwater-fed coastal inlet as habitat for the Caribbean queen conch Lobatus gigas—an acoustic telemetry and space use analysis

(2017) TC Stieglitz et al.   MARINE ECOLOGY PROGRESS SERIES

Accounting for imperfect detection of groups and individuals when estimating abundance

(2017) Matthew J. Clement et al.   Ecology and Evolution

Aerial and underwater surveys reveal temporal variation in cleaning-station use by sea turtles at a temperate breeding area

(2017) G Schofield et al.   MARINE ECOLOGY PROGRESS SERIES

A groundwater-fed coastal inlet as habitat for the Caribbean queen conch Lobatus gigas—an acoustic telemetry and space use analysis

(2017) TC Stieglitz et al.   MARINE ECOLOGY PROGRESS SERIES

Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology

(2016) Katherine S Christie et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Computer-automated bird detection and counts in high-resolution aerial images: a review

(2016) Dominique Chabot et al.   JOURNAL OF FIELD ORNITHOLOGY

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

(2016) Luis Gonzalez et al.   SENSORS

Noninvasive unmanned aerial vehicle provides estimates of the energetic cost of reproduction in humpback whales

(2016) Fredrik Christiansen et al.   Ecosphere

Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation

(2016) Lian Pin Koh et al.   Tropical Conservation Science

Enhancing the TurtleWatch product for leatherback sea turtles, a dynamic habitat model for ecosystem-based management

(2015) Evan A. Howell et al.   FISHERIES OCEANOGRAPHY

Free as a drone: ecologists can add UAVs to their toolbox

(2015) Blake M Allan et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges

(2015) Julie Linchant et al.   MAMMAL REVIEW

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

MCMC Methods for Multi-Response Generalized Linear Mixed Models: TheMCMCglmmRPackage

(2015) Jarrod D. Hadfield   Journal of Statistical Software

Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft

(2015) Dominique Chabot et al.   PLoS One

Remotely Piloted Aircraft Systems as a Rhinoceros Anti-Poaching Tool in Africa

(2014) Margarita Mulero-Pázmány et al.   PLoS One

The accuracy of Fastloc-GPS locations and implications for animal tracking

(2014) Antoine M. Dujon et al.   Methods in Ecology and Evolution

Lightweight unmanned aerial vehicles will revolutionize spatial ecology

(2013) Karen Anderson et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study

(2013) Amanda Hodgson et al.   PLoS One

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

Classification in conservation biology: A comparison of five machine-learning methods

(2010) Christian Kampichler et al.   Ecological Informatics

Human detection using a mobile platform and novel features derived from a visual saliency mechanism

(2009) Sebastian Montabone et al.   IMAGE AND VISION COMPUTING

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY