RISE Lab

Research in Irrigation Scheduling and Engineering

Oklahoma State University

RISE LabSumon Datta

Publications

Journal articles & conference proceedings

19 peer-reviewed articles and proceedings, followed by five Extension factsheets.

  1. Canopy Temperature Sensor Data Optimization for Irrigation Scheduling. Meadi, S., Kalayambakam Janardhan, A. Y., Datta, S., & Das, H. (2026).
    2026 IEEE DCAS Conference, Dallas, TX
  2. Data-driven Modeling of Soil Moisture at Irrigated Fields. Kalayambakam Janardhan, A. Y., Datta, S., Crick, C., Taghvaeian, S., & Kundu, P. K. (2026).
    2026 IEEE DCAS Conference, Dallas, TX
  3. Evapotranspiration Terminology and Definitions. DeJonge, K. C., Allen, R. G., Kilic, A., … Datta, S., … et al. (2025).
    ASCE Journal of Irrigation & Drainage Engineering, 151(5) · doi:10.1061/jidedh.ireng-10491
  4. Irrigation and Water Conservation Practices of Surface-Irrigated Croplands in West and South Regions of the U.S. Datta, S., Taghvaeian, S., Sibley, M., Gholson, D. M., Yost, M., Long, M. A., Bali, K. M., Zaccaria, D., Davis-Conger, S. L., & Ritchie, L. A. (2025).
    Journal of the ASABE, 68(3), 503-511 · doi:10.13031/ja.16257
  5. Multi-model Ensemble Mapping of Irrigated Areas Using Remote Sensing, Machine Learning, and Ground Truth Data. Akbar, M. U., Mirchi, A., Arshad, A., Alian, S., Mehata, M., Taghvaeian, S., Khodkar, K., Kettner, J., Datta, S., & Wagner, K. (2025).
    Agricultural Water Management, 312, 109416 · doi:10.1016/j.agwat.2025.109416
  6. Water Dynamics of Variably Irrigated Pecan Trees in Oklahoma. Kettner, J., Taghvaeian, S., Pokhrel, N., Mirchi, A., Zhang, L., Mehata, M., & Datta, S. (2025).
    Journal of the American Pomological Society, 78(2), 85-99 · doi:10.71318/tak32v50
  7. Rice Cultivation Under Raised Bed Conserving Irrigation Technique: Effects of Bed Width on Soil Wetness and Yield. Munmun, T. H., Islam, M. T., Rahman, M. M., Islam, M. A., Datta, S., Das, N., Akter, J., & Adham, A. K. M. (2024).
    Paddy and Water Environment · doi:10.1007/s10333-023-00957-3
  8. Soil Water Sensors for Irrigation Scheduling in the United States: A Systematic Review of Literature. Datta, S., & Taghvaeian, S. (2023).
    Agricultural Water Management, 278, 108148 · doi:10.1016/j.agwat.2023.108148
  9. Effects of Soil Data Accuracy on Outputs of Irrigation Scheduling Tools. Mehata, M., Datta, S., Taghvaeian, S., Mirchi, A., & Moriasi, D. N. (2023).
    Journal of the ASABE, 66(3), 677-687 · doi:10.13031/ja.15323
  10. Performance of a Multi-sensor Capacitance Probe in Estimating Soil Water Content and Field Capacity. Mehata, M., Datta, S., Taghvaeian, S., Ochsner, T., Mirchi, A., & Moriasi, D. N. (2023).
    Journal of the ASABE, 66(2), 253-261 · doi:10.13031/ja.15416
  11. Simulating Soil Water Content of Irrigated Fields: The Effects of Variable Soil Data and Root Water Uptake Distribution. Mehata, M., Datta, S., Taghvaeian, S., Mirchi, A., Moriasi, D., & Starks, P. J. (2022).
    Journal of the ASABE, 65(3), 587-597 · doi:10.13031/ja.14856
  12. Quantifying Water Fluxes of Irrigated Fields in an Agricultural Watershed in Oklahoma. Datta, S., Mehata, M., Taghvaeian, S., Moriasi, D., & Starks, P. J. (2021).
    ASCE Journal of Irrigation & Drainage Engineering, 147(7) · doi:10.1061/(ASCE)IR.1943-4774.0001570
  13. High Plains Aquifer: State of Affairs of Irrigated Agriculture and the Role of Irrigation in the Sustainability Paradigm. Ajaz, A., Datta, S., & Stoodley, S. (2020).
    Sustainability, 12(9), 3714 · doi:10.3390/su12093714
  14. Geospatial Data Assimilation and Mapping Groundwater Vulnerability in the High Plains Aquifer Using the DRASTIC Model. Datta, S., & Ajaz, A. (2019).
    Fundamental and Applied Agriculture, 4(3), 933-942 · doi:10.5455/faa.53506
  15. Suitability of Powerplant Disposed Water for Irrigation of Ashuganj Agro-Irrigation Project in Bangladesh. Rana, M. M., Islam, M. T., Datta, S., Rahman, M. M., & Adham, A. K. M. (2019).
    Progressive Agriculture, 30(1), 113-124 · doi:10.3329/pa.v30i1.42218
  16. Quantification and Characterization of Particulate Matter Generated from Unpaved Roads in the Oil Development Area of Western North Dakota. Datta, S., Rahman, S., Borhan, M. S., Saini-Eidukat, B., Cihacek, L., & Ringwall, K. (2019).
    Transactions of the ASABE, 62(3), 615-625 · doi:10.13031/trans.13169
  17. Impacts of Irrigation Termination on Cotton Yield and Irrigation Requirement. Masasi, B., Taghvaeian, S., Boman, R., & Datta, S. (2019).
    Agriculture, 9(2), 39 · doi:10.3390/agriculture9020039
  18. Performance Assessment of Five Different Soil Moisture Sensors under Irrigated Field Conditions in Oklahoma. Datta, S., Taghvaeian, S., Ochsner, T., Moriasi, D., Gowda, P., & Steiner, J. (2018).
    Sensors, 18(11), 3786 · doi:10.3390/s18113786
  19. Waste Generation and Management Practices in BSCIC, Mymensingh. Rahman, S., Datta, S., & Islam, S. (2014).
    Journal of Environmental Science and Natural Resources, 7(1), 47-51 · doi:10.3329/jesnr.v7i1.22143

Peer-reviewed Extension Factsheets

  1. Using Soil Moisture Trend Values from Moisture Sensors for Irrigation Decisions. Sharma, S., Wagner, K., & Datta, S. (2025).
    Oklahoma Cooperative Extension Service · accepted, number pending
  2. Determining Field Capacity Using Continuous Soil Water Content Data. Krueger, E. S., Ashrafi, A., Ochsner, T., & Datta, S. (2025).
    Oklahoma Cooperative Extension Service · PSS-2403
  3. Irrigated Agriculture in Oklahoma. Datta, S., Kettner, J., Mehata, M., & Taghvaeian, S. (2025).
    Oklahoma Cooperative Extension Service · BAE-1530
  4. Understanding the Results of Master Irrigator Center Pivot Energy Efficiency Tests. Frazier, S., & Datta, S. (2024).
    Oklahoma Cooperative Extension Service · BAE-1411
  5. Understanding Soil Water Content and Thresholds for Irrigation Management. Datta, S., Taghvaeian, S., & Stivers, J. (2017).
    Oklahoma Cooperative Extension Service · BAE-1537