Agriculture is at the forefront of a digital revolution, powered by artificial intelligence (AI), advanced sensing technologies, and high-performance computing. My research focuses on developing AI-driven software, UAV-based imaging systems, and high-throughput phenotyping pipelines to enable PEACE agriculture—Productivity, Efficiency, Adaptability, Collaboration, and Ecosystem sustainability. By integrating computer vision, deep learning, drone and satellite imagery, and remote sensing, I aim to address pressing challenges in both crop and livestock production. My goal is to bridge fundamental AI research with real-world agricultural applications, creating practical, scalable, and user-friendly tools that empower scientists, producers, and policymakers.