Geng Bai

Background

About Geng Bai

I am currently a faculty member at the University of Nebraska-Lincoln who is dedicated to leveraging cutting-edge technologies to continuously boost crop yield in a more sustainable way. I am an Agricultural Engineer with expertise in combining high-throughput plant phenotyping, machine learning and deep learning frameworks, remote sensing, data processing pipeline, hardware integration, software development, crop models, statistics, analytics, and models for decision making in irrigation and chemical application. Overall, my research areas have covered all major sections of precision agriculture/farming, including sensing, decision making, and actuation. I have author and coauthor 30+ peer-reviewed journal publications/conference presentations/book chapters (h-index = 10 and total citation =675) at prominent venues. Deep domain expertise in interdisciplinary precision agriculture, high-throughput phenotyping, remote sensing, crop sensing, climate, sustainability, and environmental protection. Image Analysis, Rapid Prototyping, Hardware Integration, Software Development, Remote Sensing, Data Analysis, Deep Learning Frameworks, Machine Learning, Algorithms, Complex Datasets Analysis. I promote a culture of transparency, collaboration, accountability, and commitment to excellence, with the speed and ambition of a startup, including a “mission first” mentality across teams.