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 …
Bridging adaptive management and reinforcement learning for more robust decisions
From out-competing grandmasters in chess to informing high-stakes healthcare decisions,
emerging methods from artificial intelligence are increasingly capable of making complex …
emerging methods from artificial intelligence are increasingly capable of making complex …
Comparing the performance of machine learning methods in predicting soil seed bank persistence
Y Tang, H Li - Ecological Informatics, 2023 - Elsevier
Soil seed banks are pivotal for understanding plant population life histories and elucidating
plant-environment relationships. Although experimental exploration of persistent seed banks …
plant-environment relationships. Although experimental exploration of persistent seed banks …
An assessment of the state of conservation planning in Europe
Expanding and managing current habitat and species protection measures is at the heart of
the European biodiversity strategy. A structured approach is needed to gain insights into …
the European biodiversity strategy. A structured approach is needed to gain insights into …
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
L Xu, E Rolf, S Beery, JR Bennett, T Berger-Wolf… - ar** and reversing the degradation of the ecosystems of the …
Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity
Societal Impact Statement The development and implementation of conservation actions
that address urgent threats to biodiversity across the globe require large amounts of historic …
that address urgent threats to biodiversity across the globe require large amounts of historic …
The transition from resistance to acceptance: Managing a marine invasive species in a changing world
Marine invasive species can transform coastal ecosystems, yet mitigating their effects can be
difficult, and even impractical. Often, marine invasive species are managed at poorly …
difficult, and even impractical. Often, marine invasive species are managed at poorly …
[HTML][HTML] Reinforcement learning for decision-making under deep uncertainty
Planning under complex uncertainty often asks for plans that can adapt to changing future
conditions. To inform plan development during this process, exploration methods have been …
conditions. To inform plan development during this process, exploration methods have been …
A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning
The environmental pollution caused by various sources has escalated the climate crisis
making the need to establish reliable, intelligent, and persistent environmental monitoring …
making the need to establish reliable, intelligent, and persistent environmental monitoring …