[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 …

Evolution of central neural circuits: state of the art and perspectives

RJV Roberts, S Pop, LL Prieto-Godino - Nature Reviews Neuroscience, 2022 - nature.com
The wide variety of animal behaviours that can be observed today arose through the
evolution of their underlying neural circuits. Advances in understanding the mechanisms …

Quantifying the movement, behaviour and environmental context of group‐living animals using drones and computer vision

B Koger, A Deshpande, JT Kerby… - Journal of Animal …, 2023 - Wiley Online Library
Methods for collecting animal behaviour data in natural environments, such as direct
observation and biologging, are typically limited in spatiotemporal resolution, the number of …

[HTML][HTML] Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring

MN Ratnayake, AG Dyer, A Dorin - Plos one, 2021 - journals.plos.org
Monitoring animals in their natural habitat is essential for advancement of animal
behavioural studies, especially in pollination studies. Non-invasive techniques are preferred …

Cater: Combined animal tracking & environment reconstruction

L Haalck, M Mangan, A Wystrach, L Clement… - Science …, 2023 - science.org
Quantifying the behavior of small animals traversing long distances in complex
environments is one of the most difficult tracking scenarios for computer vision. Tiny and low …

Spatial monitoring and insect behavioural analysis using computer vision for precision pollination

MN Ratnayake, DC Amarathunga, A Zaman… - International Journal of …, 2023 - Springer
Insects are the most important global pollinator of crops and play a key role in maintaining
the sustainability of natural ecosystems. Insect pollination monitoring and management are …

[HTML][HTML] Methods for monitoring large terrestrial animals in the wild

A Prosekov, A Kuznetsov, A Rada, S Ivanova - Forests, 2020 - mdpi.com
Reliable information about wildlife is absolutely important for making informed management
decisions. The issues with the effectiveness of the control and monitoring of both large and …

Towards computer vision and deep learning facilitated pollination monitoring for agriculture

MN Ratnayake, AG Dyer… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Globally, pollinators affect 35% of agricultural land and play a key role in food production.
Consequently, monitoring is useful to understand the contribution insects make towards crop …

Watb: Wild animal tracking benchmark

F Wang, P Cao, F Li, X Wang, B He, F Sun - International Journal of …, 2023 - Springer
With the development of computer vision technology, many advanced computer vision
methods have been successfully applied to animal detection, tracking, recognition and …

An examination of trends in the growing scientific literature on approaching wildlife with drones

M Mo, K Bonatakis - Drone Systems and Applications, 2022 - cdnsciencepub.com
Drones or unoccupied aerial vehicles are rapidly being used for a spectrum of applications,
including replacing traditional occupied aircraft as a means of approaching wildlife from the …