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 …

Bridging adaptive management and reinforcement learning for more robust decisions

M Chapman, L Xu, M Lapeyrolerie… - … Transactions of the …, 2023 - royalsocietypublishing.org
From out-competing grandmasters in chess to informing high-stakes healthcare decisions,
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 …

An assessment of the state of conservation planning in Europe

M Jung, D Alagador, M Chapman… - … of the Royal …, 2024 - royalsocietypublishing.org
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 …

Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity

A Antonelli, KL Dhanjal‐Adams… - Plants, people …, 2023 - Wiley Online Library
Societal Impact Statement The development and implementation of conservation actions
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

AG Keller, TD Counihan, ED Grosholz… - Journal of Applied …, 2025 - Wiley Online Library
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 …

[HTML][HTML] Reinforcement learning for decision-making under deep uncertainty

Z Pei, AM Rojas-Arevalo, FJ de Haan… - Journal of …, 2024 - Elsevier
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 …

A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning

D Mansfield, A Montazeri - Frontiers in Robotics and AI, 2024 - frontiersin.org
The environmental pollution caused by various sources has escalated the climate crisis
making the need to establish reliable, intelligent, and persistent environmental monitoring …