Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to ....Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to see local grass flowers and integrate this with air sensors trained to detect grass pollen types. The expected outcomes are new capacities to track airborne grass pollen types. These outcomes can transform how pollen can be monitored to reduce the burden of allergies, and provide evidence of changing airborne pollen loads.
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Discovery Early Career Researcher Award - Grant ID: DE230100085
Funder
Australian Research Council
Funding Amount
$440,954.00
Summary
Forensic genomic toolkit for tracking the illegal wildlife trade. This project aims to analyse the illegal parrot trade by utilising conservation genomic approaches. The project will reveal wildlife trade routes in South-east Asia by developing cutting-edge forensic genomic techniques and criminological methods. Expected outcomes of this project include new field-deployable sequencing technology to provide in-situ genetic information for identifying the taxonomy and provenance of confiscated spe ....Forensic genomic toolkit for tracking the illegal wildlife trade. This project aims to analyse the illegal parrot trade by utilising conservation genomic approaches. The project will reveal wildlife trade routes in South-east Asia by developing cutting-edge forensic genomic techniques and criminological methods. Expected outcomes of this project include new field-deployable sequencing technology to provide in-situ genetic information for identifying the taxonomy and provenance of confiscated specimens, and a first ever genetic database of traded wildlife. The project will facilitate important countermeasures to the illegal wildlife trade including confiscation, reintroduction, improved law enforcement, and education for better biodiversity outcomes in our region.Read moreRead less