Highlights Of The Program
2 days business program:
Learn from real-world case studies by industry leaders.
SHOWCASING INNOVATION:
Discover the latest technology and techniques from across the industry.
leaders talk:
Hear from top-level experts about how to stay ahead in a fast-changing industry.
MULTIPLE STREAMS:
A business program that is multi-disciplinary, giving you a broad view of the industry.
SMART TECHNOLOGIES:
Explore the latest smart and AI-driven solutions, and see how they can be used in your business.
roundtable discussion:
Join talks with industry peers. Share ideas, make connections, and find new partners.
Program 2026
DAY 1 :
MONDAY, NOVEMBER 9, 2026
08:00 - 08:50
REGISTRATION AND MORNING REFRESHMENTS
08:50 - 09:00
OPENING ADDRESS
09:00 - 09:30
RESERVED PRESENTATION
09:30 - 09:55
BEYOND THE PILOT: BUILDING THE DATA OPERATIONS ENGINE THAT KEEPS AGRICULTURAL CV MODELS ACCURATE AT SCALE
Brett Hallinan
iMerit Technology
- Discover why agricultural computer vision models often fail after pilots and how data operations can sustain accuracy at scale
- Learn how edge-case capture, expert validation, and quality workflows can improve model resilience across farming conditions
- Explore practical ways to balance automation and human expertise while reducing costs and preventing model drift in the field
09:55 - 10:00
Q&A SESSION ON BUILDING DATA OPERATIONS FOR SCALABLE AGRICULTURAL CV MODELS
10:00 - 10:30
SPEED NETWORKING SESSION
- Exchange business cards and get connected in short one-to-one meetings
- Start the conversation to arrange a more formal meeting later on in the conference
- Share your professional background and discuss your biggest business issues — don't forget your business cards!
10:30 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
PANEL DISCUSSION ON AGRI AI
11:30 - 11:55
FROM VISION AI TO AUTONOMOUS AGRICULTURE: PRACTICAL, SAFE, AND SCALABLE AI SYSTEMS FOR THE FIELD
Amjad Zaim
Cognistic
- Operationalizing edge AI and sensor fusion to build scalable autonomous systems for farm deployment
- Calibrating human-machine collaboration and safety frameworks for semi-autonomous farm operations
- Synthesizing GenAI decision support with transferable lessons from industrial AI for farm operations
11:55 - 12:00
Q&A SESSION ON AUTONOMOUS AI SYSTEMS FOR FIELD AGRICULTURE
12:00 - 12:25
FROM FIELDS TO ALGORITHMS: HOW AI IS REWRITING THE FUTURE OF GLOBAL FOOD SYSTEMS
Dileep M
Cropin
- Evidencing Cropin's one billion acres as proof that agricultural AI at global scale is already live
- Embedding AI as infrastructure rather than a tool across crop monitoring and supply chain resilience
- Forging a measurable path to climate-resilient food systems across 30 million digitized acres
12:25 - 12:30
Q&A SESSION ON AI AND THE FUTURE OF GLOBAL FOOD SYSTEMS
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE AGRI AI EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON AGRI AI
14:00 - 14:25
FROM COFFEE RUST TO AUTONOMOUS AGRONOMY: BIOSYSTEMS ENGINEER'S AGRI-AI PLAYBOOK
Andres Lastra-Lastra
Ternova
- Anchoring the talk in Costa Rican research on drone-GIS detection of coffee rust and potato blight
- Rebuilding classical detection workflows with IoT sensing, LLM agents, and autonomous field actions
- Advocating for biosystems engineers over generalist AI teams for the next wave of agri-AI adoption
14:25 - 14:30
Q&A SESSION ON BUILDING PRODUCTION-GRADE AGRI-AI SYSTEMS
14:30 - 14:55
SMART FARMS, SMARTER FUTURES: AI INNOVATIONS POWERING AGRICULTURE
Joyce Hunter
Mission Critical Inc.
- Illustrating how AI and predictive analytics are driving smarter, more adaptive agricultural systems
- Mapping practical AI uses in farming and food systems, and workforce approaches that sustain adoption
Olga Bolden-Tiller
Tuskegee University
- Detailing workforce development strategies that equip agricultural teams for AI-driven environments
- Highlighting how cross-sector partnerships and real-world case studies accelerate scalable AI adoption
14:55 - 15:00
Q&A SESSION ON AI INNOVATIONS FOR SMARTER FARM FUTURES
15:00 - 15:20
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:20 - 15:50
PANEL DISCUSSION ON AGRI AI
15:50 - 16:20
RESERVED PRESENTATION
16:20 - 16:45
PEOPLE FIRST, AI SECOND: HOW AGRI LEADERS CAN TURN AI INTO AN OPERATIONAL ADVANTAGE
Wayne Clayton
Importynt AI
- Guiding agri leaders to identify high-value AI use cases and build practical adoption roadmaps
- Equipping workforce teams for AI adoption while preserving human leadership and strategic judgment
- Establishing internal trust and clarity before scaling AI across SMB and mid-market agri operations
16:45 - 16:50
Q&A SESSION ON AI ADOPTION FOR AGRICULTURE LEADERS
16:50 - 17:15
FROM AI ACCESS TO AI READINESS: EDUCATIONAL AND LANGUAGE BARRIERS IN AGRICULTURE
Kira Kovnat
Worcester Polytechnic Institute
- Challenging why AI agri adoption demands STEM readiness, AI literacy, and critical output evaluation
- Exposing how language gaps in AI and technical education widen divides between agri economies
- Narrating lessons from adapting AI education to low-resource agricultural environments in Paraguay
17:15 - 17:20
Q&A SESSION ON AI READINESS AND EDUCATION GAPS IN AGRI
17:20 - 18:20
NETWORKING DRINKS RECEPTION
DAY 2 :
TUESDAY, NOVEMBER 10, 2026
08:00 - 08:30
MORNING REFRESHMENTS
08:30 - 08:40
OPENING ADDRESS
08:40 - 09:10
PANEL DISCUSSION ON AGRI AI
09:10 - 09:35
AI AND AGRI CERTIFICATION: TRANSFORMING DATA INTO VERIFIABLE SUSTAINABILITY
Juan Gabriel
Agraya
- Translating GLOBALG.A.P. and FMS data into AI-enabled sustainability and traceability insights
- Positioning AI as a complementary layer for compliance, ESG reporting, and farm-level risk management
- Unlocking AI as a practical pathway toward sustainability verification and supply chain transparency
09:35 - 09:40
Q&A SESSION ON AI AND AGRICULTURAL CERTIFICATION DATA
09:40 - 10:05
THE INVISIBLE HARVEST -- LEGAL AND ETHICAL ISSUES WITH FARM DATA AND AI
Shaun Jamison
Purdue Global Law School
- Unpacking contractual rights and responsibilities that determine who owns and controls farm data
- Tracing the shift from data ownership toward data sovereignty and what this means for farming communities
- Addressing the privacy and security vulnerabilities that emerge when AI systems process agricultural data
10:05 - 10:10
Q&A SESSION ON LEGAL AND ETHICAL ISSUES IN FARM DATA
10:10 - 10:30
MORNING COFFEE BREAK IN THE EXHIBIT AREA
10:30 - 11:00
PANEL DISCUSSION ON AGRI AI
11:00 - 11:25
AUTONOMOUS AGRICULTURE: INTEGRATING AI, UAVs, AND ROBOTICS FOR FIELD INTELLIGENCE
Sudhir Payare
Montana State University-Bozeman
- Fusing multi-source remote sensing data through AI for crop monitoring and predictive analytics
- Applying ML models to pest detection, crop lodging, yield prediction, and precision field operations
- Designing autonomous agri systems around aerial sensing, ground robotics, and AI decision support
11:25 - 11:30
Q&A SESSION ON AI ROBOTICS AND AUTONOMOUS FIELD AGRICULTURE
11:30 - 11:55
DEMOCRATIZING AGRI AI, REAL-WORLD SYSTEMS FOR SMALL FARMS, URBAN GROWERS, AND DISTRIBUTED PRODUCTION
Sam Ranier
Pacific Crest Greenhouses
- Deploying accessible AI tools for crop planning, yield forecasting, and input optimization on small farms
- Leveraging underutilized urban and peri-urban land through AI and GIS-driven microclimate crop matching
- Navigating organic certification workflows and grant compliance using AI-driven financial scenario modeling
11:55 - 12:00
Q&A SESSION ON AI TOOLS FOR SMALL FARMS AND DISTRIBUTED GROWING
12:00 - 12:15
FEEDBACK AND RAFFLE DRAW
12:15 - 12:30
CLOSING REMARKS
12:30 - 13:30
NETWORKING LUNCH
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