My research focuses on analyzing the temporal and spatial behavior of field anomalies in agricultural landscapes using remote sensing techniques and machine learning. The goal is to enhance agricultural practices through data-driven insights and predictive modeling, with the hope of better understanding and improving metrics in biodiversity, economics, policy, and beyond.