Assistant Professor of Agronomy
School of Agribusiness and Agriscience
PO Box 5
HC 102
Middle Tennessee State Universtiy
Murfreesboro, TN 37132
Phone: 615 898 5833
Email: song dot cui at mtsu.edu
I am a broadly trained agronomist with expertise in crop physiology, forage production, simulation modeling, soil and boundary layer flux (CO2, water vapor, and greenhouse gases) measurements, and large-scale agroecosystem studies addressing issues such as water sustainability and climate change. Particularly, I am interested in developing decision support tools for soil and water management of agricultural crops in site-specific management and integrating machine learning techniques into advanced agronomic research domains, including remote sensing, bioinformatics, plant growth/ecological modeling, irrigation scheduling, and big-data analysis in agriculture. Furthermore, as an agronomist by training, I enjoy conducting variety trials and cropping system research on major field crops and forages in different agroecosystems.
*Bioinformatics focusing on RNA-seq analysis in domestic animals
*Integrated cropping systems, greenhouse gas emission, and plant growth modeling
*Agricultural remote sensing using Unmanned Aerial Systems (UAS)
*Agricultural climatology using eddy covariance systems
*Machine learning (SVM, RVM, and etc) based big data interpretation
Ph.D. Crop Science (2011) Texas Tech University, Lubbock, TX.
M.S. Computer Science (in progress), Texas Tech University, Lubbock, TX.
B.S. Agricultural Science (2006), Lanzhou University, Lanzhou, China
Postdoctoral Research Associate (October 2012 - July 2013), Texas A&M AgriLife Research and Extension Center, Vernon, TX.
*Grants: Our USDA grant on UAS and its application in agriculture has been funded
*Grants: A collaborating USDA grant with UTK on agricultural water use efficiency has been funded
*Paper: “Yield, quality, and spectral reflectance responses of cotton under subsurface drip irrigation” has been published in Agronomy Journal
