CADSI Our impact areas Health
Health
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-
CADSI
- About us
-
Our impact areas
-
Nature
- AutoWeed: AI Sport Spraying for Smarter Weed Control
- Automated Detection and Counting of Flying-Foxes from Thermal Imagery
- Smart Detection of Marine Invasive Species for Biosecurity
- 3D LiDAR Mapping of Coral Restoration Gardens and Mangrove Ecosystems in Bali and Lombok, Indonesia
- Hyperspectral Satellite Monitoring of Post-Cyclone Water Quality in the Great Barrier Reef
- Automated Estimation of Snail Shell Volume and Morphology
- Health
-
Economies
- Smart Sugarcane Health Monitoring Platform with Satellite Remote Sensing and Machine Learning
- AutoFish: AI Phenotyping for Tropical Aquaculture
- Detecting Variety Contamination in Sugarcane Plots
- Automating South Sea Pearl Phenotyping Through Masking and Deep Learning Algorithms
- Non-Destructive, High-throughput Phenotyping for Aquaculture: NIR Spectroscopy for the “Forensic” Chemical Analysis of Akoya Oyster and Red Algae
- Remote Sensing and Hydrodynamic Modelling for Flood-Driven Soil Erosion in Northern Queensland
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Communities
- Digital Twin Student
- The Place of AI in Higher Education Teaching, Learning and Assessment
- Beyond the Text: Exploring student engagement and perceptions of AI generated podcasts and infographics in higher education
- Guardrails or Handbrakes? How Australian Universities Frame AI in Policy, and the Dominance of Misconduct Narratives
- Equitable GenAI Co-Pilot for Engineering Education
- VEtheRBlocks: Teaching the Internet with AR and Toy Bricks
- Corrugation Control in Unsealed Roads: Mechanisms and Sustainable Solutions
-
Nature
- Capabilities
- Our people
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We improve human, animal and plant health through predictive modelling, privacy-preserving data integration and decision support. From disease risk forecasting to smarter biosecurity and crop health diagnostics, our work enables earlier intervention, better outcomes, and more equitable access to care and services.
