**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** ARTIFICIAL INTELLIGENCE (AI) ADVANCES HAVE REVOLUTIONIZED INDUSTRIES (E.G., MANUFACTURING, MEDICINE); YET, THE POWER OF AI REMAINS ELUSIVE FOR MOST AGRICULTURE STAKEHOLDERS. THIS IS EXACERBATED BY TECHNOLOGISTS, WHICH TEND TO FOCUS ON TECHNOLOGY AND SOLUTIONS, AS OPPOSED TO STAKEHOLDERS AND PROBLEMS. THIS PROJECT WILL ADVANCE DECISION INTELLIGENCE (DI) AS A STAKEHOLDER- AND PROBLEM-FIRST APPROACH. DI, WHICH HAS BEEN USED EFFECTIVELY IN INDUSTRY FOR DECADES BUT NOT FORMALIZED ACADEMICALLY, WILL ENABLE NEW WAYS TO LINK AI TECHNOLOGY SOLUTIONS WITH STAKEHOLDER EXPERTISE AND DOMAIN-SPECIFIC MODELS, VISUALIZATION TOOLS, AND BUILT-IN METHODS OF IDENTIFYING BIASES. THROUGH PARTICIPATORY DESIGN WITH STAKEHOLDERS, AND USING THE SWEETPOTATO SUPPLY CHAIN AS A USE-CASE, THE PROJECT'S OBJECTIVES ARE TO: 1) CREATE SOFTWARE FOR VISUALIZING DATA-DRIVEN DECISIONS; 2) CONDUCT EXPERIMENTS TO IMPROVE USER DECISION MAKING; 3) IDENTIFY SOURCES OF BIAS THAT WOULD REDUCE TECHNOLOGY ACCESS AND ADOPTION; AND 4) DEVELOP AN OPEN-SOURCE SOFTWARE REFERENCE ARCHITECTURE FOR DI TOOLS. THIS PROJECT WILL PROVIDE A FORMALIZED METHODOLOGY FOR USERS TO IDENTIFY AND IMPLEMENT TECHNOLOGY SOLUTIONS IN EVOLUTIONARY AND TRACTABLE WAYS, AND ADDRESSES THE DSFAS-AI TOPICS OF FACILITATING REAL-TIME DECISION MAKING, INCORPORATING NEW METHODS TO REDUCE BIAS IN MACHINE LEARNING METHODS, AND DEVELOPING OPEN-SOURCE PLATFORMS FOR IMPROVED ADOPTION OF AI TOOLS. WITH INCREASING INNOVATIONS IN ON-FARM AI CAPABILITIES, A RISING TIDE OF DATA IS PRIMED TO OVERWHELM STAKEHOLDERS WITHOUT PROPER TOOLS. STEMMING THE TIDE WILL REQUIRE INNOVATION IN SENSING, AI, SOFTWARE, COGNITION, AND AGRICULTURE--ALL AREAS THE PROJECT TEAM COMPRISES EXPERTISE--INDICATING THE PROJECT IS TIMELY AND THE TEAM IS WELL-SUITED TO MEET PRODUCERS' NEEDS.