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
Day 1 :
WEDNESDAY, OCTOBER 8, 2025
08:00 - 09:00
REGISTRATION AND MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
HARVESTING HOPE: AI INNOVATIONS FOR SMALLHOLDER FARMERS IN DRY REGIONS
Vinay Nangia
CGIAR
- Learning how precision farming principles are adapted for smallholders using open-source, low-cost tools
- Discovering how AI and IoT systems provide timely insights on irrigation, fertilizer, and risk mitigation
- Exploring how ICARDA’s innovations improve productivity, income, and sustainability in dryland regions
09:35 - 09:40
Q&A SESSION ON AI FOR SMALLHOLDER FARMERS IN DRYLAND AGRICULTURE
09:40 - 10:05
FROM THEORY TO FIELD: LESSONS IN DEPLOYING AGTECH AT SCALE – WHY MANAGED SERVICES WORK WHERE AI ALONE STRUGGLES
Siva Avvaru
Farmers Edge
- Exploring why AI solutions often stall in agricultural deployments without on-the-ground support
- Understanding how managed services enable scalability through real-time infrastructure and expertise
- Learning from real-world examples of AgTech success across cooperatives and producer organizations
10:05 - 10:10
Q&A SESSION ON MAKING AGTECH SCALABLE THROUGH MANAGED SERVICES
10:10 - 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
Sponsored By FARMERS EDGE
11:00 - 11:30
PANEL DISCUSSION ON THE FUTURE AI ADOPTION TRENDS BOOSTING FOOD SECURITY, CLIMATE RESILIENCE, AND RESOURCE OPTIMIZATION
- Overcoming the barriers to AI adoption in agriculture, such as legacy systems and siloed data, and enhancing AI integration for improving food security and resource optimization
- Leveraging AI to improve food security in resource-limited regions and predicting extreme weather events, optimizing water, soil, and energy use to boost climate resilience
- Identifying trends to safeguard the global food supply, developing tools for studying climate change, and optimizing resources in food production for efficiency and cost reduction
- Rewiring food systems with AI to tackle structural challenges, overcoming post-harvest barriers, enabling proactive design, and ensuring responsible, equitable adoption for farmers
| AGRIVI | Moderator
| Farmers Edge
| Prairie View A&M University
| Lee Friesen - Mindshift Speaking
| LakshumiTek
11:30 - 11:55
BUILDING THE FUTURE OF AG AI WITH ON-FARM DATA AND GEOSPATIAL MODELING
Randall Barker
INTENT
- Harnessing broad-sensor technology for comprehensive on-farm data collection
- Using ML/AI scenarios in INNOVA to enhance sustainability and product solutions
- Driving agricultural innovation through advanced geospatial modeling techniques
11:55 - 12:00
Q&A SESSION ON THE FUTURE OF AG AI WITH DATA AND MODELING
12:00 - 12:25
SATELLITE IMAGERY AND MACHINE LEARNING FOR DATA-DRIVEN, EVIDENCE-BASED DECISION-MAKING IN SMALLHOLDER AGRICULTURE
Alok Talekar
Google DeepMind
- Tackling agricultural differences and climate transition challenges to ensure food and water security
- Highlighting advances in remote sensing and machine learning technologies
- Showcasing case studies that build a national-scale agricultural understanding for resource allocation
12:25 - 12:30
Q&A SESSION ON AI AND SATELLITE IMAGERY FOR AGRICULTURE
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE AGRI AI SUMMIT EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON POLICY INITIATIVES FOSTERING RESPONSIBLE AI ADOPTION, BRIDGING DIGITAL DIVIDES, AND SUPPORTING SMALLHOLDERS
- Addressing privacy risks and data protection best practices to safeguard smallholders, reducing power imbalances created by AI in agriculture
- Identifying policy levers to drive responsible AI adoption in underserved areas, ensuring inclusion and aligning AI with ESG frameworks for smallholder resilience
- Leveraging policy levers and AI, including field boundaries and remote sensing, to support smallholders, bridge digital divides, and enhance commodity chain participation
| INTENT | Moderator
| Kuma LLC
| Amal Sustainability Partners
| Torc Robotics
14:00 - 14:25
AI APPLICATIONS AND INFLUENCE ON THE U.S. CROP INSURANCE INDUSTRY
Billy Meade
Farmers Mutual Hail Insurance
- Assessing the current integration of technology within the U.S. crop insurance sector
- Highlighting the collaboration between public and private entities in data and technology sharing
- Reviewing AI's impact on approved insurance providers and policyholders, with key case studies
14:25 - 14:30
Q&A SESSION ON THE IMPACT OF AI IN THE U.S. CROP INSURANCE SECTOR
14:30 - 14:55
LEAF-LEVEL INSIGHTS AND BEYOND: THE FUTURE OF MULTIMODAL AND GENAI IN CROP MANAGEMENT
Jason Minton
Taranis
- Utilizing AI to tackle the primary challenges in agricultural retail today
- Understanding the significance of leaf-level insights for crop health and productivity
- Exploring the present and future roles of large language models in agricultural AI
14:55 - 15:00
Q&A SESSION ON THE FUTURE OF AI IN CROP MANAGEMENT
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 16:00
PANEL DISCUSSION ON DATA-DRIVEN AND GENERATIVE AI BREAKTHROUGHS ENHANCING CROP HEALTH, FERTILIZATION, AND SUSTAINABLE HARVESTING
- Applying generative AI to discover ag-input compounds, bridge data gaps in crop protection, and predict biological outcomes under varying environmental conditions
- Tailoring AI models for small- and medium-scale farmers to improve soil health, optimize sustainable harvesting, and enhance global agri-product trade
- Designing AI tools that remain accessible to smallholders, reduce post-harvest losses, and enhance sustainability, traceability, and food security across global supply chains
- Translating high-throughput plant phenotyping and real-time monitoring into practical, cost-effective solutions for small-scale and urban farms resilient to environmental changes
| Farmers Mutual Hail Insurance | Moderator
| agrematch
| Cadre Tech
| Chandra Associates
| Nanyang Technological University
16:00 - 16:25
AI TECHNIQUES FOR PEST AND DISEASE MANAGEMENT IN AGRICULTURE
Achyut Boggaram
Torc Robotics
- Applying machine learning to address and manage highly imbalanced agricultural datasets
- Employing efficient data-cleaning techniques for large-scale labeled datasets in agricultural contexts
- Implementing scalable inference methods for high-efficiency pest and disease detection using remote sensing and drones
16:25 - 16:30
Q&A SESSION ON SCALABLE AI SOLUTIONS FOR AGRICULTURE
16:30 - 16:55
BRINGING AUTONOMOUS TRACTORS TO PRODUCTION IN AGRICULTURE
Rakhil Immidisetti
Blue River Technology | John Deere
- Addressing the challenges and breakthroughs in deploying autonomous tractors off-road at scale
- Learning how AI, multi-camera systems, and safety design are enabling next-gen field robotics
- Understanding how autonomy can help address the rising food demands and ag labor shortages
16:55 - 17:00
Q&A SESSION ON SCALING AUTONOMOUS TRACTORS IN AGRICULTURE
17:00 - 18:00
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, OCTOBER 9, 2025
08:30 - 09:00
MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
THE DATA CENTER THAT FEEDS THE FARM
Shawn Cutter
EnergiAcres
- Exploring how data centers can co-locate with greenhouses to share energy, water, and CO₂
- Understanding the mechanics behind AI-optimized systems for resilient food and power supply
- Learning how incentives and policy can scale this vision while creating jobs and food security
09:35 - 09:40
Q&A SESSION ON PAIRING DATA CENTERS WITH RESILIENT FOOD SYSTEMS
09:40 - 10:05
HOW ARE AI AGENTS DRIVING INNOVATION IN AGRI-FOOD VALUE CHAINS?
Matija Zulj
AGRIVI
- Presenting real-world use cases of AI Agents accelerating digital transformation in agriculture
- Explaining how agri-input companies use AI Agents to boost engagement, loyalty, and market growth
- Highlighting applications of AI Agents in agri-food supply chains
10:05 - 10:10
Q&A SESSION ON AI AND GENAI IN AGRI-FOOD VALUE CHAIN INNOVATION
10:10 - 10:35
AGRICHAT: RETRIEVAL-AUGMENTED GENERATION FOR LOCATION-SPECIFIC AGRICULTURAL INSIGHTS
Harsha Devarapalli
University of California, Riverside
- Discovering how AgriChat uses RAG models to extract accurate, localized ag knowledge from U.S. documents
- Learning how tools like LangChain, Hugging Face, and Streamlit enable scalable and user-friendly design
- Examining evaluation results that show how domain-specific AI significantly improves advisory accuracy
10:35 - 10:40
Q&A SESSION ON AGRICHAT AND RAG MODELS FOR LOCAL AGRI INSIGHTS
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:25
AI FOR SMALLHOLDER FARMERS
Stewart Collis
Bill & Melinda Gates Foundation
- Studying how Generative AI can transform the lives of rural farmers in low and middle-income countries
- Understanding the potential benefits of AI in addressing information asymmetries and advancing research
- Analyzing the risks related to exclusion, bias, transparency, and misuse, especially for marginalized populations
11:25 - 11:30
Q&A SESSION ON AI BENEFITS AND RISKS FOR FARMERS
11:30 - 11:55
DISTINGUISHING PEST FROM NON-PEST WEEVILS WITH AI: INSIGHTS FROM IMAGE AND MOLECULAR DATASETS
Adama Tukuli
U.S. Department of Agriculture
- Learning how computer vision can be used to identify morphologically similar weevil species
- Exploring how machine learning and genomics enhance subspecies-level protein identifications
- Exploring how combining imaging and molecular tools supports precision pest management systems
11:55 - 12:00
Q&A SESSION ON USING AI TO DIFFERENTIATE WEEVIL SPECIES IN THE FIELD
12:00 - 12:25
ENGAGEMENT OF AI TECHNOLOGIES IN FOOD PRODUCTION QA/QC/FOOD SAFETY SYSTEMS
Andy Moreno
AME Certified PCR AI Laboratories
- Tracing the evolution of AI-powered tools such as thermal cameras, vision systems, and smart sensors
- Illustrating how AI enhances pathogen detection, automates HACCP, and ensures compliance in QA/QC
- Evaluating practical deployment strategies, ROI insights, and case studies from real operations
12:25 - 12:30
Q&A SESSION ON AI IN FOOD SAFETY AND QUALITY ASSURANCE SYSTEMS
12:30 - 12:55
AI IN THE FIELD: TRANSFORMING HOW WE GROW, PICK, AND DELIVER PRODUCE
Vonnie Estes
International Fresh Produce Association
- Exploring how AI enables smarter growing with precision irrigation, nutrient management and disease detection
- Understanding how robotics and vision systems are revolutionizing harvest and post-harvest innovations
- Examining how AI optimizes cold chain logistics and traceable produce to meet quality and consumer expectations
12:55 - 13:00
Q&A SESSION ON HOW AI IS TRANSFORMING FIELD-TO-FORK AGRICULTURE
13:00 - 13:15
FEEDBACK & RAFFLE DRAW
13:15 - 14:30
NETWORKING LUNCH
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