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Tag: Yiannis Ampatzidis

UF/IFAS boosts AI research to help solve perplexing issues

[inlinetweet prefix=”” tweeter=”” suffix=””]As UF/IFAS joins a university-wide push to increase artificial intelligence research, its faculty will help solve major problems.[/inlinetweet] Among them: ensuring crops taste good and resist diseases with the least environmental impact. UF/IFAS scientists are… Read More

Invention of the Year: AI-based Software to Analyze and Visualize UAV-collected Data

Agricultural and Biological Engineering Assistant Professor Yiannis Ampatzidis and his team received the UF Invention of the Year award from the UF Innovate | Tech Licensing for his cloud and artificial intelligence (AI) based application, Agroview. Agroview is… Read More

New AI technology ‘Agroview’ named UF Invention of the Year

Yiannis Ampatzidis and his research team combined their collective minds to find the artificial intelligence technology to best help farmers save money and better care for their crops. Out of that process, they invented a system known as… Read More

AI helps detect powdery mildew early so growers can manage disease in squash

IMMOKALEE, Fla. — Plant detectives and engineers from the University of Florida are using artificial intelligence to find a disease early so growers who produce summer squash can keep it under control. Early detection gives farmers a fighting… Read More

Cloud-based technology helps farmers count citrus trees

In his quest to find the right drone and other artificial intelligence to help ensure citrus growers get an accurate count of their crop, Yiannis Ampatzidis and his research team have developed a system known as Agroview. The… Read More

UF/IFAS Southwest Florida Research and Education Center on cutting edge of precision agriculture

By Kelly Morgan “Precision agriculture,” “artificial intelligence.” It sounds like content for a science fiction movie or TV show. But we’re not talking about “The Avengers” or “Star Trek.” These scientific innovations present us with real-world applications for… Read More

EDIS Spotlight: Applications of Artificial Intelligence for Precision Agriculture

Technology advances have enabled the development and implementation of remote sensing technologies for plant, weed, pest, and disease identification and management. This provides an opportunity to develop intelligent agricultural systems for precision applications using artificial intelligence and machine… Read More

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

EDIS Spotlight: Guide on Using Post-processing Software to Visualize UAV Data

A man looks at a drone in the sky.

Unmanned aerial vehicles (UAVs) are a unique and useful tool in the agricultural industry. Commonly known as drones, UAVs are used to collect high-resolution data that is difficult for manned flights or satellite imagery, due to the low resolution and… Read More