Artificial Intelligence in Crop Protection Symposium Agenda

🗓️Thursday, September 24, 2026
📍Georgia Center, University of Georgia, Athens, GA 30602

7:30 AM – 8:30 AM

Registration and Light Breakfast

8:15 AM – 8:30 AM

Welcome & Introductions

8:30 AM – 10:00 AM

SESSION I – Detection, Monitoring, and Diagnosis

  • “Eavesdropping on Herbivores: AI-Based Sound Analysis Through Implicit Labeling”, Emily Bick, University of Wisconsin-Madison
  • “Volatile Organic Compound (VOC) Profiling with Machine Learning for Detecting Aspergillus and Tomato Spotted Wilt Virus in Peanut”, Daniel Sabo, Georgia Tech Research Institute 
  • “SporeCam: Using Image-based AI Algorithms to Enable 24/7 Disease Pathogen Monitoring”Ryan French, ScanIt Technologies
  • “Mechanically Intelligent Elongate Robots”, Daniel Goldman, Georgia Institute of Technology & Ground Control Robotics, Inc.

10:00 AM – 10:30 AM

Coffee Break

10:30 AM – 12:00 PM

SESSION II – Modeling, Forecasting, and Prediction

  • “Digital Innovation in Cotton Crop Protection: Overview of Research at Texas A&M University”, Muthu BagavathiannanTexas A&M University
  • “Is Computer Vision the Missing Piece for Precision Agriculture?”, S. Chris Reberg-Horton, North Carolina State University
  • “Integrating Remote Sensing with Epidemiological Modeling for Improved Disease Detection and Management”, Katie Gold, Cornell University
  • “Foundation Models and Agentic AI for Crop Protection: Detecting and Deciding at Scale”, Baskar Ganapathysubramanian, Iowa State University

12:00 PM – 1:30 PM

Lunch Break & Poster Viewing

1:30 PM – 3:00 PM

SESSION III – Precision Technologies for Pest Management

  • “Transforming Crop Protection Through Targeted Sprayers”, Lauren Lazaro, University of Georgia 
  • “Artificial Intelligence for Precision Crop Protection in Specialty Crops: Field Experiences with Laser Weeding and Targeted Spraying”, Thierry E. Besancon, Rutgers University
  • “Recent Advancement in AI and Robotics for Precision Crop Management”, Manoj Karkee, Cornell University
  • “Benchmarking Large Language Models for Crop Protection: Building a Community Leaderboard with AI AgriBench”, Ansh Ankul, University of Illinois Urbana-Champaign

3:00 PM – 3:30 PM

Coffee Break

3:30 PM – 5:00 PM

SESSION IV – Applications and Future Directions

  • “Current and Future Perspectives on AI and Robotics for Weed and Disease Detection in Agriculture”, Xin (Rex) Sun, North Dakota State University
  • “Novel Sensors for Crop Protection”, Liang Dong, University of Georgia
  • “Computer Vision for Crop Protection: Counting, Tracking, and 3D Reconstruction”, Jin Sun, University of Georgia
  • “Rewriting the Rules with Aim & ApplyTM”, Chad Yagow, Verdant Robotics.

5:00 PM – 6:15 PM

Mixer & Poster Session

6:15 PM – 6:30 PM

Student Poster Awards & Concluding Remarks