The integration of Artificial Intelligence (AI) with Uncrewed Ground Vehicles (UGVs) and Uncrewed Aerial Vehicles (UAVs) is revolutionizing row-crop agriculture by enabling precision, automation, and data-driven decision-making. This chapter explores the role of AI-enabled robotic systems in enhancing agricultural productivity and sustainability. We present a comprehensive overview of enabling technologies such as robotics frameworks (e.g., Robot Operating System (ROS)), simulation tools (e.g., Gazebo, AirSim), IoT platforms, and deep learning models. Through case studies, including the Flex-Ro system and SENSE nitrogen management experiments, we illustrate practical applications in planting, scouting, weed control, and nitrogen optimization. Furthermore, we examine collaborative autonomy among UAVs and UGVs, real-time perception, and intelligent control systems that support adaptive decision-making in dynamic field environments. The chapter emphasizes the transformative potential of AI in building climate-smart and resilient farming systems.