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Artificial Intelligence

Artificial Intelligence

AI Seminar Series

Upcoming SeminarsPast Seminars

Upcoming Seminars

The UF/IFAS Faculty AI Working Group (FAWG) is presenting a series of seminars from faculty across UF/IFAS as well as external speakers to build a robust scholarly community on artificial intelligence (AI) and data science. It will provide a platform for experts to share their latest research advancements in fundamental and applied AI and data science technologies for agriculture, natural resources, and human systems.

– Content sourced from UF/IFAS AI Seminars Aim to Share Research Advancements by Brad Buck

April 22, 2024, 12:00PM to 1:00PM, Department of Animal Sciences, L.E. “Red” Larson Building, Room 201

A headshot of Dr. Rohan Fernando

Dr. Rohan L Fernando

Professor Emeritus - Department of Animal Science, Iowa State University

  • Bio

    Dr. Fernando received his Ph.D. degree in Animal Science from the University of Illinois in 1984 and continued there as a faculty member. In 1996, he joined the Department of Animal Science at Iowa State University as a Full Professor. Dr. Fernando is internationally recognized for his contributions to the development of methodology for genetic improvement of livestock, especially in the area of incorporating molecular information into breeding. He has received over 100 invitations to speak and teach on these developments in 21 countries. He retired from Iowa State University in 2022. 

How would Fisher use genomic information to determine the genetic contribution to continuous traits?

In 1918, Ronald Fisher developed theory to demonstrate that under the assumption of Mendelian inheritance, one could determine the genetic contribution to continuous traits. In the absence of genomic information, he used pedigree relationships between individuals to determine the covariance between their genotypic values. In most of the current genetic analyses that utilize genomic information, the pedigree relationships are replaced by genomic relationships. In this talk, Rohan Fernando presents an alternative approach to study the genomic contribution to continuous traits that does not require making many of the usual assumptions such as random mating and linkage equilibrium.

May 10, 2024, Time TBA

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Presented by Golmar Golmohammadi

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Presented by Nikolay BliznyukUniversity of Florida - Agricultural and Biological Engineering

August 28, 2024, Time TBA

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Presented by Joel Harley, University of Florida - Electrical and Computer Engineering

September 25, 2024, Time TBA

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Presented by Manoj Karkee, Washington State University - AI Institute

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Past Seminars

Below, please find information on previous UF/IFAS AI and Data Science seminars.

April 05, 2024, 12:00PM to 1:00PM, Frazier Rogers R-122

A headshot photo of Isler Volkan

Dr. Ibrahim Volkan Isler

Professor - Computer Science and Engineering, University of Minnesota

Top-down vs. Bottom-up Intelligence: A Robotics Perspective

Over the past couple of decades, robotics research has mainly focused on transforming classical automation-style robots into intelligent machines that can operate in complex and unstructured environments with minimal human intervention. With recent advances in machine learning, the development of such intelligent robot systems is closer than ever to reality. In this talk, Dr. Volkan Isler gives an overview of robot systems that have been built by his group over the years. He also presents their recent work to combine top-down and bottom-up approaches to intelligence toward building general purpose robots that can operate robustly and safely in everyday environments.

March 22, 2024, 12:00PM to 01:00PM

AI-Powered Phenomics for Plant Breeding

Presented by Xu "Kevin" Wang, University of Florida, Gulf Coast Research and Education Center - Agricultural and Biological Engineering

AI Modeling of Soil Carbon from Local to Global Scales

Presented by Sabine Grunwald, University of Florida - Soil, Water and Ecosystem Sciences

February 23, 2024

Integrative and Explainable AI for Early Detection of Multifactorial Autoimmune Diseases

Presented by Raquel Dias, University of Florida - Microbiology and Cell Science

November 17, 2023

Applications of Generative Artificial Intelligence Models to Agriculture: Preliminary Studies on Heat Stress Estimation Using Aerial Images

Presented by Henry Medeiros, University of Florida - Agricultural and Biological Engineering

Novel Uses of Generative AI in Agricultural Machine Vision

Presented by Arnold Schumann, University of Florida - Soil, Water, and Ecosystem Sciences

October 27, 2023

Convergence of Mechanistic Modeling and Artificial Intelligence in Hydrologic Science and Engineering (and Lessons for Other Fields)

Presented by Rafael Munoz-Carpena, University of Florida - Agricultural and Biological Engineering

Data Ethics in AI Development and Implementation in Agriculture

Presented by Ziwen Yu, University of Florida - Agricultural and Biological Engineering

September 29, 2023

Development of User-Friendly, Open-Source Computer Vision Tools for Precision Livestock Farming

Presented by Haipeng Yu, University of Florida - Animal Science

Automation and Deep Learning to Advance Phenomics and Postharvest Handling

Presented by Charlie Li, University of Florida - Agricultural and Biological Engineering

August 16, 2023

AI and Machine Learning to Reduce Postharvest Loss

Presented by Tie Liu, University of Florida - Horticultural Sciences

From Soil Mapping to Informed Decision Making for Ecosystem Health: An Envisioned Target and the Role of AI

Presented by Nikos Tziolas, University of Florida - Soil, Water, and Ecosystem Sciences

June 27, 2023

A New Approach to Training Agricultural Robotics Through Synthetic Data and Digital Twin

Presented by Dana Choi, University of Florida - Agricultural and Biological Engineering

Geospatial Artificial Intelligence for Ecosystem Service Quantification

Presented by Chang Zhao, University of Florida - Agronomy