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Tag: Yiannis Ampatzidis

Drone Images Detect Two Tomato Diseases with 99% Accuracy

IMMOKALEE, Fla. — New technology being developed by University of Florida scientists identifies two dangerous tomato diseases with 99 percent accuracy. This finding is critical because diseases can cost growers millions of dollars annually in the state’s third… Read More

New Precision Ag Facility Adds to UF/IFAS Arsenal to Fight Pests, Diseases

In a new, 8,500-square-foot building at the UF/IFAS Gulf Coast Research and Education Center, weed scientist Nathan Boyd uses images of weeds to train computers to identify them. Those pictures can be used to help growers know when,… Read More

Cloud-Based Software Helps Farmers on the Ground

IMMOKALEE, Fla. — A University of Florida agricultural engineer has developed software that can help farmers find the best places to plant crops and to identify fruit and vegetable varieties that perform better against diseases. Now, Yiannis Ampatzidis… Read More

AI Could Help Citrus Growers Find, Detect Dangerous Psyllids

GAINESVILLE, Fla. — Precision agriculture engineer Yiannis Ampatzidis sees a day when citrus farmers use artificial intelligence to detect the pin-sized insects that can infect the fruit’s trees with the deadly greening disease. That day could come in… Read More

Drone Images Can Accurately Find, Count Citrus Trees

GAINESVILLE, Fla. — By using drone technology, Florida citrus growers can find out how many trees live in their groves and, eventually, they may detect the health status of the citrus plants, a new University of Florida study… Read More

UAV-based Remote Sensing Can Help Avocado Growers by Detecting Asymptomatic Pathogen

GAINESVILLE, Fla. — Remote imaging can effectively detect a pathogen that endangers the $100 million-a-year Florida avocado industry – even before the trees show symptoms — University of Florida scientists say. Yiannis Ampatzidis, an assistant professor of agricultural… Read More