pollen

UTA and Partners Use AI to ID Allergy-Causing Pollen for Smarter Health and Planning Decisions

by | Jul 7, 2025
A new deep-learning system accurately distinguishes between nearly identical pollen grains from fir, spruce, and pine trees. The goal is to develop a comprehensive pollen identification system that can be applied across regions in the United States.
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Q&A: Dr. David Lary Talks About the GASP Project
by | Apr 11, 2016
Dr, David Lary, Ph.D., is leading a new pilot project called Geolocated Allergen Sensing Platform (GASP) that will use data to help reduce the harmful effects of pollution.
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GASP
GASP Project will Help Reduce Pollution’s Effects
by | Apr 11, 2016
The project will use a Google Maps-style approach to helping people identify areas of heavy pollution or pollen.
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