[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Frontiers in quantifying wildlife behavioural responses to chemical pollution
Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …
widespread implications for ecological and evolutionary processes in contaminated wildlife …
Computer vision and deep learning for fish classification in underwater habitats: A survey
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …
in their natural habitats. This helps them get a step closer towards understanding and …
Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish
D Li, L Du - Artificial Intelligence Review, 2022 - Springer
Monitoring the growth conditions and behavior of fish will enable scientific management,
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …
[HTML][HTML] The drone revolution of shark science: A review
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 …
research. Drones have shown significant value for animals that were often difficult or …
[HTML][HTML] A review of unmanned system technologies with its application to aquaculture farm monitoring and management
NA Ubina, SC Cheng - Drones, 2022 - mdpi.com
This paper aims to provide an overview of the capabilities of unmanned systems to monitor
and manage aquaculture farms that support precision aquaculture using the Internet of …
and manage aquaculture farms that support precision aquaculture using the Internet of …
[HTML][HTML] Artificial intelligence and automated monitoring for assisting conservation of marine ecosystems: A perspective
EM Ditria, CA Buelow, M Gonzalez-Rivero… - Frontiers in Marine …, 2022 - frontiersin.org
Conservation of marine ecosystems has been highlighted as a priority to ensure a
sustainable future. Effective management requires data collection over large spatio-temporal …
sustainable future. Effective management requires data collection over large spatio-temporal …
[HTML][HTML] Marine citizen science: Current state in Europe and new technological developments
C Garcia-Soto, JJC Seys, O Zielinski… - Frontiers in Marine …, 2021 - frontiersin.org
Marine citizen science is emerging with promising opportunities for science, policy and
public but there is still no comprehensive overview of the current state in Europe. Based on …
public but there is still no comprehensive overview of the current state in Europe. Based on …
Deep learning for visual recognition and detection of aquatic animals: A review
J Li, W Xu, L Deng, Y Xiao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …
biological world, especially in aquaculture. How to accurately and intelligently recognise …
Evaluating fish feeding intensity in aquaculture with convolutional neural networks
N Ubina, SC Cheng, CC Chang, HY Chen - Aquacultural Engineering, 2021 - Elsevier
This paper presents a novel method to evaluate fish feeding intensity for aquaculture fish
farming. Determining the level of fish appetite helps optimize fish production and design …
farming. Determining the level of fish appetite helps optimize fish production and design …