Yufeng Ge

Yufeng Ge serves as the Eberhard Professor of Agriculture in the Department of Biological Systems Engineering at the University of Nebraska-Lincoln. His research program integrates cutting-edge technologies to address critical challenges in agricultural sustainability and productivity.

Dr. Ge's work centers on precision agriculture with emphasis on UAV-based remote sensing and machine learning for real-time field applications. Key focus areas include plant phenotyping for crop breeding programs, soil spectroscopy for rapid soil property assessment, and irrigation management systems enhanced by AI. His research leverages edge computing to deploy lightweight models directly on agricultural devices, enabling on-farm data processing for weed detection, biomass evaluation, and drought response monitoring.

Analysis of his 2023-2025 publications reveals a strong trend toward scalable agricultural monitoring systems combining satellite imagery, UAV data, and proximal sensors. Notable advancements include generative AI for irrigation decisions, zero-shot segmentation for phenotyping, and global soil spectral grids. His work consistently addresses practical implementation challenges in field conditions while advancing theoretical frameworks for crop-water-soil interactions.