[HTML][HTML] Perspectives in machine learning for wildlife conservation

D Tuia, B Kellenberger, S Beery, BR Costelloe… - Nature …, 2022 - nature.com
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Beyond refueling: Investigating the diversity of functions of migratory stopover events

JA Linscott, NR Senner - The Condor, 2021 - academic.oup.com
Stopovers comprise a significant proportion of the time that many birds spend migrating, and
researchers have long relied on these events to define and classify broader migratory …

Identification of animals and recognition of their actions in wildlife videos using deep learning techniques

F Schindler, V Steinhage - Ecological Informatics, 2021 - Elsevier
Biodiversity crisis has continued to accelerate. Studying animal distribution, movement and
behaviour is of critical importance to address environmental challenges such as spreading …

Behaviour classification of extensively grazed sheep using machine learning

ES Fogarty, DL Swain, GM Cronin, LE Moraes… - … and Electronics in …, 2020 - Elsevier
The application of accelerometer sensors for automated animal behaviour monitoring is
becoming increasingly common. Despite the rapid growth of research in this area, there is …

A survey of machine learning approaches in animal behaviour

N Kleanthous, AJ Hussain, W Khan, J Sneddon… - Neurocomputing, 2022 - Elsevier
Animal activity recognition is an important topic that facilitates understanding of animal
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …

Defining an epidemiological landscape that connects movement ecology to pathogen transmission and pace‐of‐life

K Manlove, M Wilber, L White… - Ecology …, 2022 - Wiley Online Library
Pathogen transmission depends on host density, mobility and contact. These components
emerge from host and pathogen movements that themselves arise through interactions with …

Early life experience shapes male behavior and social networks in Drosophila

A Bentzur, S Ben-Shaanan, JIC Benichou, E Costi… - Current Biology, 2021 - cell.com
Living in a group creates a complex and dynamic environment in which behavior of
individuals is influenced by and affects the behavior of others. Although social interaction …

Affective state recognition in livestock—artificial intelligence approaches

S Neethirajan - Animals, 2022 - mdpi.com
Simple Summary Emotions or affective states recognition in farm animals is an
underexplored research domain. Despite significant advances in animal welfare research …

A guide to sampling design for GPS‐based studies of animal societies

P He, JA Klarevas‐Irby, D Papageorgiou… - Methods in Ecology …, 2023 - Wiley Online Library
GPS‐based tracking is widely used for studying wild social animals. Much like traditional
observational methods, using GPS devices requires making a number of decisions about …

Machine learning of large‐scale spatial distributions of wild turkeys with high‐dimensional environmental data

A Farrell, G Wang, SA Rush, JA Martin… - Ecology and …, 2019 - Wiley Online Library
Species distribution modeling often involves high‐dimensional environmental data. Large
amounts of data and multicollinearity among covariates impose challenges to statistical …