I develop AI-powered tools for precision agriculture by fusing UAV/satellite imagery (optical, LiDAR, SAR), in-field sensors, and agronomic data to build field-scale decisions. Using Geo-AI and machine learning, we map management zones, predict yield and disease risk, and optimize variable-rate nitrogen. Through on-farm trials and extension, I turn data into practical recommendations that boost profitability, cut inputs, and improve soil and water resilience.