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Cross-Modal Coordination for Biodiversity Monitoring at Scale: Lessons from SmartWilds
Coordinating multiple sensor modalities with AI at the far edge, informed by synchronised multimodal datasets like SmartWilds, can scale and adapt biodiversity monitoring.
Jenna Kline ↗
kabr-tools: A Modular Workflow for Automated Video-Based Behavioral Monitoring Across the Autonomy Spectrum
kabr-tools offers a modular, model-agnostic pipeline from drone or camera-trap video to ecological behaviour analysis.
Jenna Kline ↗
Digital Twins as System-Optimization Tools: Provisioning Edge and Cloud Infrastructure for Biodiversity Monitoring at Scale
Digital twins should close the sim-to-real loop for the sensor systems too, letting teams plan where and how to deploy multimodal monitoring before going into the field.
Tanya Berger-Wolf ↗
FAIR² Drones: An AI-Ready Standard for Cross-Domain Wildlife Drone Dataset
A shared dataset card that captures ecological, robotic and computer vision metadata makes costly drone datasets reusable across disciplines.
Jenna Kline ↗
How to operationalize large-scale aerial biodiversity monitoring?
Existing weather radar networks already monitor bird migration continent-wide; with open standards and the Aloft archive, they could underpin a European migration-forecasting digital twin.
Peter Desmet ↗
Standardizing Multimodal Insect Monitoring Data for AI-Ready Pipelines: Lessons from an InsectAI Community Datathon
Camtrap DP can largely accommodate automated insect monitoring data today, but the community needs agreed guidance and a few targeted extensions (track IDs, parent media and crop offsets, target taxonomic scope, identification provenance) to handle insect-specific challenges.
Jamie Alison ↗