Song Cui

Dr. Song Cui is a Professor of Digital Agriculture at Middle Tennessee State University's School of Agriculture. He holds a Ph.D. in Agriculture from Texas Tech University (2011) and a B.S. in Agronomy from Lanzhou University (2006). His research focuses on organic agriculture, digital agriculture technologies, small farming systems, and sustainable crop management. Key areas include soil health, precision farming, and agroecosystem modeling.

• Education:
  • PhD in Agriculture, Texas Tech University, 2011
  • BS in Agronomy, Lanzhou University, 2006

Dr. Cui's work bridges agronomic practices and advanced technologies, with recent studies on transitioning to organic grain rotations, soil phosphorus dynamics in karst ecosystems, and the use of high-resolution satellite imagery for crop modeling. He investigates how conservation tillage and precision agriculture can enhance crop yields and resource efficiency in challenging environments like the Loess Plateau and semi-arid regions.

His publications highlight interdisciplinary approaches to agricultural challenges, integrating machine learning for environmental flux predictions and exploring microbial diversity under different land-use patterns. Dr. Cui's research also emphasizes economic viability of organic transitions and the role of data-driven strategies in sustainable farming.