A Critical Time for Innovation
For generations, Washington farmers have been pioneers—national leaders in agricultural productivity and diversity. Our 300+ commodities and $12.9 billion agricultural economy are built on ingenuity and resilience.
Today’s producers face unprecedented challenges: climate volatility, water scarcity, labor shortages, and economic pressures. Artificial intelligence offers transformative potential to address these challenges. Washington farmers are already using AI to make complex decisions, increase yields, reduce environmental impact, and improve worker safety.
Imagine:
- Farmers receiving precise weather predictions days or weeks in advance
- AI systems optimizing every drop of water and input, maximizing yield while minimizing waste
- Leveling the playing field for small-scale producers with AI decision-support tools
WSAS’S “Growing with ai” initiative
The Washington State Academy of Sciences is convening researchers, farmers, AI developers, policymakers, and innovators to explore how AI can shape agriculture’s future in Washington.
Join our 6-part webinar series exploring AI’s role in farming—from climate resilience to post-harvest optimization. Registration is free and open to the public.
Webinar discussions will serve as a foundation of shared learning for a workshop among speakers and other invitees to further refine Washington’s opportunity space and catalyze new collaborations.
Overviews
Artificial Intelligence: What it can do, where it is going, and key opportunities for agriculture
January 12, 2026, 12-1pm
Learn AI basics, how agriculture drives AI innovation, and how AI is reshaping farming from reactive to proactive operations.
Speakers:
- Oren Etzioni, Technical Director, AI2 Incubator; Professor Emeritus, University of Washington (view slides)
- Ananth Kalyanaraman, Professor and Director, School of Electrical Engineering and Computer Science, Washington State University; Director, NSF-USDA NIFA AgAID AI Institute (view slides)
Agriculture in Washington: What are our strengths and what are opportunities for AI-enabled innovation
January 23, 2026, 12-1pm
Explore opportunities and challenges for Washington agriculture and how AI could increase viability and competitiveness.
Speakers:
- Derek Sandison, Director, Washington State Department of Agriculture (view slides)
- Ines Hanrahan, Executive Director, Washington Tree Fruit Research Commission (view slides)
Topical Panels
AI for Climate and Weather Resilience
February 4, 2026, 12-1:30pm
How can AI-enabled approaches help growers prepare and adapt to increasing climate variability and extreme weather?
Speakers:
- Brad Coleman, (Host), Director of Weather Strategy (retired), Bayer/The Climate Corporation
- Dani Gelardi, Senior Soil Scientist & Climate Coordinator, Washington State Department of Agriculture
- Andrew Nelson, Software Engineer and Farmer
-
Director, NSF AI2ES;Lead AI and Meteorology Strategist – Advisor, Brightband
- Brad Zamft, CEO & Co-Founder, Heritable Agriculture
AI for Input Optimization
February 12, 2026, 12-1:30pm
How can AI be used to maximize productivity while minimizing costs and environmental impact?
Speakers:
- Kelly McLain, (Host), Assistant Director, Agricultural Environmental Services Division, Washington State Department of Agriculture
-
Lav Khot, Professor of Precision Agriculture, Washington State University
- Jonathan Cox, Vice President of Science & Technology, Double Diamond Fruit
- Miel Hostens, Robert and Anne Everett Endowed Associate Professor of Digital Dairy Management and Data Analytic, Cornell University
- Steve Mantle, CEO & Founder, innov8.ag
AI for Post-Harvest
February 19, 2026, 12-1:30pm
How can AI be used in storage, processing, and distribution to enhance quality, reduce waste, and optimize supply chains?
Speakers:
- Scot Hulbert, (Host), Regents Professor and Cook Endowed Chair for Cropping Systems Pathology, Washington State University
-
Juming Tang, Frank Jungers Endowed Chair, Department of Industrial & Systems Engineering, University of Washington
- Claire Zoellner, Director of Data Science, iFoodDS
