May 28-30, 2024

Charlie Li

Professor

University of Florida

Biography

Charlie Li is a Professor in the Agricultural and Biological Engineering Department and he serves as the IFAS AI Administrative Coordinator. Prior to his current position, he was a Professor and Distinguished Faculty Scholar at the College of Engineering at the University of Georgia. He earned his doctoral degree in Agricultural and Biological Engineering from the Pennsylvania State University and received his postdoctoral research training at the University of Illinois at Urbana-Champaign. He has over 20 years of experience in developing innovative AI-based sensing and automation technologies to advance digital agriculture and automated phenotyping. He is a member of the American Society of Agricultural and Biological Engineers (ASABE) and the Institute of Electrical and Electronics Engineers (IEEE). His work has been recognized by several national awards from the ASABE, including New Holland Young Researcher Award, Rain Bird Engineering Concept of the Year Award, and multiple paper awards. Together with his collaborators, he has successfully secured more than $16 million in grant funding from a diverse range of sources, including the National Institute of Food and Agriculture (NIFA), the National Science Foundation, state agencies, and industry partners. He holds one US patent and co-founded a startup company focusing on agricultural technologies.

Appearances

Empowering livestock farmers in small and middle income countries with artificial intelligence and digital tools

ICTforAg 2023 2023-11-09T10:00:53-06:00

The first part of the presentation will delve into the forefront of Artificial Intelligence (AI) technologies pertinent to Agriculture 4.0. We will explore vital applications of AI that are instrumental in tackling challenges faced by the agriculture and food sectors, especially within the Global South. A showcase of a few research endeavors undertaken by researchers from the University of Florida, employing AI to advance agriculture and food systems, will also be shared as well principal challenges and promising opportunities lying ahead. The second part of the talk will outline lessons learned from deployment of digital tools for dairy farm assessment, formulating livestock rations, and marketing goats in African and Asian countries.