Article

Energy‐Aware AI for Landscape‐Scale Conservation: A Digital Twin Architecture for the Greater Yellowstone Ecosystem

2026-04-15

Abstract excerpt

Conservation management of large, multi-species landscapes requires integrating heterogeneous data streams—such as satellite imagery, GPS telemetry, camera traps, bioacoustic sensors, weather stations, and field reports—into a unified model capable of simulating ecosystem dynamics and generating actionable recommendations. This paper proposes a tiered, energy-aware AI architecture for constructing ecosystem digita...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 374b16cf-c168-5b98-8de7-6c28b391d75c
DOI: 10.20944/preprints202604.1131.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Energy‐Aware AI for Landscape‐Scale Conservation: A Digital Twin Architecture for the Greater Yellowstone EcosystemDOI 10.20944/preprints202604.1131.v1Read

Generative AI-Enhanced Digital Twins for Predictive Ecosystem Management and ConservationSemantic proximity Read

Agricultural Intelligence: A Technical Review Within the Perception-Decision-Execution (PDE) FrameworkSemantic proximity Read

Application of Machine Learning Tools for Waterbird Colony Monitoring Provides Gains in Precision and Temporal EfficiencySemantic proximity Read

Artificial Intelligence and Digital Twins for Bioclimatic Building Design: Innovations in Sustainability and EfficiencySemantic proximity Read

AI for Precision Fertilizer and Pesticide Application: An Integrated Real-Time Deep Learning and IoT-Driven Field Management SystemSemantic proximity Read

The MosAICo ecosystem: bridging the taxonomic gap in vector surveillance with real-time entomological artificial intelligenceSemantic proximity Read

To AI or not to AI? Per-task energy and water demands of AI inference are orders of magnitude lower than human labor across all scenariosSemantic proximity Read

Integration of Robotics and Automation in Protected Horticultural Systems: Systematic ReviewSemantic proximity Read

Physical AI: The Next Frontier in AI and Robotics to Build Truly Autonomous MachinesSemantic proximity Read

Review of The Current State of Deep Learning Applications in AgricultureSemantic proximity Read

A Self-Evolving AI Agent System Accelerating the Understanding of Climate Change and VariabilitySemantic proximity Read

D5.5 Short-term ecological forecasts in support of the Bioeconomy Strategy and EU citizensSemantic proximity Read