**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** INNOVATION ACROSS THE FIELD OF AGRICULTURE IS NECESSARY TO REACH AND EXCEED THE REQUIRED YIELDS FOR FEEDING AN EXPANDING GLOBAL POPULATION. CONVENTIONAL TECHNOLOGIES ARE INSUFFICIENT TO TACKLE THESE CHALLENGING AGRICULTURE GOALS; THEY MUST BE AUGMENTED WITH AI-DRIVEN TECHNIQUES. AGRICULTURAL PROBLEMS CAN DRIVE SIGNIFICANT AND NOVEL ADVANCES IN FOUNDATIONAL AI QUESTIONS SUCH AS TRANSFER LEARNING, DOMAIN KNOWLEDGE, AUTONOMOUS SYSTEMS, COMPUTER VISION, AND EDGE COMPUTING. THE AGRICULTURE DOMAIN HAS A WEALTH OF DATA HETEROGENEITY, WITH COMPLEX AND UNIQUE ENVIRONMENTS AND DOMAIN-SPECIFIC KNOWLEDGE IDEAL FOR APPLICATION TO FOUNDATIONAL AI. THE BROAD GOAL OF THIS SUMMIT IS TO DEVELOP A LONG-TERM TECHNICAL VISION AND A COMPREHENSIVE STRATEGY FOR THE UTILIZATION OF AI ADVANCES TO TACKLE CHALLENGES FACING U.S. AND WORLD AGRICULTURE. THIS SUMMIT WILL BE A COLLABORATION BETWEEN THE FIVE USDA-NIFA FUNDED NATIONAL AI-INSTITUTES AND WILL BRING TOGETHER A DIVERSE SET OF PARTICIPANTS. A SHORT-TERM OUTCOME OF THIS SUMMIT WILL BE TO PRODUCE A WHITE PAPER WITH A SET OF RECOMMENDATIONS BASED ON THE DISCUSSION HELD DURING THE MEETING. THE LONG-TERM OUTCOMES OF THIS EVENT WILL BE TO ENCOURAGE CONTINUED SUPPORT OF AI-DRIVEN SOLUTIONS. STRONG RESEARCH BENEFITS U.S. AND GLOBAL AGRICULTURE BY IMPROVING ON-FARM TECHNOLOGIES, CROP IMPROVEMENT, CLIMATE RESILIENCE, FARM LABOR CHALLENGES, REDUCED DISEASE, FARM INCOME, AND SUSTAINABLE ENVIRONMENTAL PRACTICES.