The AI-AgARENA project will develop a national-scale planning roadmap for an artificial intelligence (AI)-ready agricultural research testbed. The proposed infrastructure is designed to support the development and testing of advanced AI technologies in real-world farming environments, enabling breakthroughs in resilient agriculture. The project will unify geographically distributed testbeds across Iowa, Arizona, and Ohio, allowing researchers to evaluate AI methods across a range of crops, soil types, and climatic conditions. By integrating autonomous robotics, wireless networking, and multimodal sensing with cyberinfrastructure, AI-AgARENA aims to democratize access to agricultural data and test environments for a broad research community. The project addresses pressing challenges in food security and agricultural resilience while supporting U.S. leadership in emerging AI and wireless technologies. The planning effort will engage scientists, educators, industry stakeholders, and government agencies to ensure the testbed is extensible, and responsive to national priorities. Education, outreach, and workforce development are integral to this effort, with special attention to training future AI-agriculture innovators. This work supports NSF’s mission by advancing science and technology, strengthening U.S. economic competitiveness, and promoting societal well-being through sustainable food systems. The project will plan and design AI-AgARENA, an AI-ready cyber-physical testbe