Dr. Xin Qiao
Associate Professor / Irrigation Management and Engineering Panhandle Research Extension and Education Center University of Nebraska-Lincoln
Contact
- Address
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4502 Ave I
Scottsbluff, NE, 69361, - Phone
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Appointment
50% Extension, 50% Research.
Professional Interests
On-Farm Research, irrigation scheduling, IoT, AI
Professional Society Memberships
American Society of Agricultural and Biological Engineers
Education
- Ph.D. 2015, Plant and Environmental Sciences, Clemson University
- M.S. 2012, Biosystems Engineering, Clemson University
- B.S. 2009, Water and Wastewater Engineering, South China University of Technology
Professional Responsibilities and Activities
- EXTENSION INTERESTS:
On-farm research, technology adoption, development of user-friendly software, etc. - RESEARCH INTERESTS:
Deficit irrigation, irrigation application and control devices, irrigation scheduling, artificial intelligence, Internet-of-Things, etc.
Publications
- Jamal, A., Cai, X., Qiao, X., Garcia, L., Wang, J., Amori, A., Yang, H. “Real‐Time Irrigation Scheduling Based on Weather Forecasts, Field Observations, and Human‐Machine Interactions.”(2023) Water Resources Research, vol. 59, no. 12, 2023, https://doi.org/10.1029/2023WR035810.
- Liu, L., Qiao, X.*, Liang, W.Z., Oboamah, J., Wang, J., Rudnick, D.R., Yang, H.S., Shi, Y.Y. (2023). An edge-computing flow meter reading recognition algorithm optimized for agricultural IoT network. Smart Agricultural Technologies. https://doi.org/10.1016/j.atech.2023.100236.
- Katimbo, A., Rudnick, D.R., Zhang, J.W., Ge, Y.F., DeJonge, K.C., Franz, T.E., Shi, Y.Y., Liang, W.Z., Qiao, X., Heeren, D.M., Kabenge, I., Nakabuye, H.N., Duan, J.M. (2023) Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management. Smart Agricultural Technologies. https://doi.org/10.1016/j.atech.2023.100176.
- Liang, W., Oboamah, J., Qiao, X.*, Ge, Y., Harveson, B., Rudnick, D. R., Wang, J., Yang, H., & Gradiz, A. (2023). CanopyCAM – an edge-computing sensing unit for continuous measurement of canopy cover percentage of dry edible beans. Computers and Electronics in Agriculture, 204, 107498–. https://doi.org/10.1016/j.compag.2022.107498.
- Gonzalez, H.A., Qiao, X.*, D’Alessio, M., Dissanayake, D.M.P.B, Heeren, D.M., Biswas, S., Williams, C.F., Ray, C. Growing corn and sugar beets with feedlot effluent, air injection, and subsurface drip irrigation systems in western Nebraska. (2022) Journal of Irrigation and Drainage Engineering. https://10.1061/JIDEDH/IRENG-9949.
- Nakabuye, H. N., Rudnick, D.R., DeJonge, K. C., Lo, T. H., Heeren, D., Qiao, X., Trenton, E.F., Katimbo, A., Duan, J. (2022). Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment. Agricultural Water Management, 274, 107957. https://doi.org/10.1016/j.agwat.2022.107957.
- Ru, Z., Wang, J., Kuhl, S., Garcia, L. C., Qiao, X., Reed, D., "A smart-and-connected low-cost sensor system for measuring air and soil properties in the Central U.S.: first results," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 5720-5723. https://10.1109/IGARSS46834.2022.9884823.
- Katimbo, A., Rudnick, D.R., DeJonge, K. C., Lo, T. H., Qiao, X., Franz, T., Nakabuye, H. N., Duan, J. (2021). Crop Water Stress Index Computation Approaches and their Sensitivity to Soil Water Dynamics. Agricultural Water Management, 266, 107575. https://doi.org/10.1016/j.agwat.2022.107575.
- Liang, W. Z., Possignolo, I., Qiao, X.*, DeJonge, K., Irmak, S., Heeren, D., & Rudnick, D. (2021). Utilizing digital image processing and two-source energy balance model for the estimation of evapotranspiration of dry edible beans in western Nebraska. Irrigation Science, 39(5), 617-631. https://doi.org/10.1007/s00271-021-00721-7.
Awards and Honors
Omtvedt Innovation Award – Extension. 2023. UNL Institute of Agriculture and Natural Resources.