UF Uses Artificial Intelligence To Detect Poison Ivy
Researchers at the University of Florida Institute of Food and Agricultural Sciences Gulf Coast Research Center are using AI to identify poison ivy, which causes rashes on up to 50 million people each year.
Nathan Boyd, researcher and professor of horticultural sciences, led the research alongside post-doctoral researcher Renato Herrig, who designed the mobile app. Designed as a tool for hikers and those working outdoors, the app uses a camera to identify poison ivy in real time and works without an internet connection.