Qiong Su

Assistant Professor
Water Resources Program Team, Agricultural Sciences Department

Office: 242 McAdams Hall
Phone: 864-656-4057

Email: qsu@clemson.edu
Personal Website: https://sites.google.com/view/qiongsu/home

Educational Background

Ph.D. Water Management and Hydrological Science
Texas A&M Universtiy

M.S. Environmental Science
Peking Univeristy

B.S. Computer Science
Ocean University of China

B.S. Environmental Science
Ocean University of China

Courses Taught

AGM 2210: Land Surveying
AGM 4020/6020: Irrigation System Design

Research Interests

My research expertise spans from basic science (evapotranspiration and soil-plant-water relationships) to applied agriculture with management (state-of-the-art irrigation tools and decision support systems) for multi-scale agricultural water management. Additionally, my work employs crop modeling and the integration of advanced technologies, such as machine learning and remote sensing, into agricultural system simulations.

Publications

TEXTBOOKS
1. Singh, V.P., and Su, Q., 2022. Irrigation Engineering: Principles, Processes, Procedures, Design, and Management. Cambridge University Press, Cambridge, the U.K., ISBN-13: 978-1316511220.

PEER-REVIEWED JOURNAL PUBLICATIONS
[*corresponding-author, †co-first author]
1. Su, Q., Ale, S.*, Himanshu, S.K., Singh, J., and Singh, V.P. (2025). Calibration and bias correction of seasonal weather forecasts of the North American Multi-Model Ensemble (NMME) for real-time regional crop modeling. The Journal of Agricultural Science. 1-15. https://doi.org/10.1017/S0021859625000139

2. Su, Q.*, Kambale, R.D., Tzeng, J., Amy, G.L., Ladner, D.A., and Karthikeyan, R.* (2025). The growing trend of saltwater intrusion and its impact on coastal agriculture: challenges and opportunities. Science of the Total Environment. 966, 178701. https://doi.org/10.1016/j.scitotenv.2025.178701

3. Singh, V.P.*, and Su, Q. (2025). Empirical relations in hydrology derived using entropy theory. Journal of Hydrologic Engineering. 30(4). https://doi.org/10.1061/JHYEFF.HEENG-6506

4. Xu, W.Y., Wang, T.Y., Ji, T.Y., Su, Q.*, Chen, W., and Ji, C.L. (2025). RepGhostConv-Subpixel Fusion-Cascading Attention-Detection (RSCDet): A novel lightweight model for real-time aphid detection. Computers and Electronics in Agriculture. 110591. https://doi.org/10.1016/j.compag.2025.110591

5. Xu, W.Y., Yang, R., Karthikeyan, R., Shi, Y., and Su, Q.* (2025). GBiDC-PEST: A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment. Journal of Integrative Agriculture. https://doi.org/10.1016/j.jia.2024.12.017

6. Su, Q., Park, Y.G., Kambale, R.D., Adelberg, J., Karthikeyan, R., Jeong, B.R.* (2025). Advancing light-mediated technology in plant growth and development: The role of blue light. Horticulturae. 2025, 11(7), 795. https://doi.org/10.3390/horticulturae11070795

7. Tomlin, M.*, Bridges, W., Su, Q., Karthikeyan, R., Jeong, B.R., Liu, H., Amy, G.L., Adelberg, J. (2025). Combining diluted seawater and fertilizer in an Ion-based multivariate approach as an Effective Assay for Salt Tolerance in Brassica juncea Seedlings. Horticulturae. 2025, 11(7), 820. https://doi.org/10.3390/horticulturae11070820

8. Su, Q., and Singh, V.P.* (2024). Advancing irrigation management: integrating technology and sustainability to address global food security. Environmental Monitoring and Assessment. 196, 1018. https://doi.org/10.1007/s10661-024-13145-5

9. Sapkota, B.R., Adams, C.B.*, Su, Q., and Ale, S. (2024). Remote detection of water stress in cotton using a center pivot irrigation system-mounted sensor package. Scientific Reports. 14, 23436. https://doi.org/10.1038/s41598-024-74092-2

10. Su, Q.*, Srinivasan, R., and Karthikeyan, R.*(2024). SC.HAWQS: A user-friendly web-based decision support system for regional water resources management under a changing climate. Water Resources Management. 38, 1261-1278. https://doi.org/10.1007/s11269-023-03719-2

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