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Dr. Sushil Kumar Himanshu

Assisstant Professor
Agricultural Systems and Engineering, Department of Food, Agriculture, and Bioresources

Doctor of Philosophy in Water Resources Development & Management, Indian Institute of technology Roorkee, India (July 2013 – Dec 2017)

Master of Technology in Hydrology, Indian Institute of Technology Roorkee, India (2010 – June 2012)

Bachelor of Technology in Agricultural Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India (July 2006 – June 2010)

  • Precision Farming
  • Climate Resilient Agriculture Systems
  • Regenerative Agricultural Practices
  • On-farm Irrigation Water Management
  • Remote Sensing and GIS Applications in Agriculture
  • Applications of Unmanned Aerial Systems (UAS) and Wireless Sensors in Agriculture
  • Big Data Analysis and Applications
  • Machine Learning Applications in Agriculture
  • Hydrologic/Cropping System Modelling
  1. Himanshu, S. K., Ale, S. Bordovsky, J., Kim, J., Samanta, S., Omani, N. and Barnes, E. (2021). Assessing the Impacts of Irrigation Termination Periods on Cotton Productivity under Strategic Deficit Irrigation Regimes. Scientific Reports-Nature, 11(1), 1-16. (IF = 4.379)
  2. Fan, Y., Himanshu, S. K., Ale, S., DeLaune, P. B., Zhang, T., Park, S. C., Colaizzi, P. D., Evett, S.R. and Baumhardt, R. L. (2022). The synergy between water conservation and economic profitability of adopting alternative irrigation systems for cotton production in the Texas High Plains. Agricultural Water Management, 262, 107386. (IF = 4.516)
  3. Himanshu, S. K., Fan, Y., Ale, S. and Bordovsky, J. (2021). Simulated Efficient Growth-Stage-Based Deficit Irrigation Strategies for Maximizing Cotton Yield, Crop Water Productivity and Net Returns. Agricultural Water Management, 250, 106840. (IF = 4.516)
  4. Mauget, S., Himanshu, S. K., Goebel, T., Ale, S., Gitz III, D. and Lascano, R. (2021). Soil and Soil Organic Carbon Effects on Simulated Southern High Plains Dryland Cotton Production. Soil and Tillage Research, 212, 105040. (IF = 5.374)
  5. Yadav, B., Gupta, P. K., Patidar, N. and Himanshu, S. K. (2020). Ensemble Modelling Framework for Groundwater Level Prediction in Urban Areas of India. Science of the Total Environment, 712, 135539. (IF = 7.963)
  6. Himanshu, S. K., Pandey, A., Yadav, B. and Gupta, A. (2019). Evaluation of Best Management Practices for Sediment and Nutrient Loss Control Using SWAT Model. Soil and Tillage Research, 192, 42-58. (IF = 5.374)
  7. Himanshu, S. K., Ale, S., Bordovsky J. P. and Darapuneni, M. (2019). Evaluation of crop-growth-stage-based deficit irrigation strategies for cotton production in the Southern High Plains. Agricultural Water Management, 225, 105782. (IF = 4.516)
  8. Himanshu, S. K., Pandey, A. and Patil, A. (2018). Hydrologic Evaluation of the TMPA-3B42V7 Precipitation Data Set over an Agricultural Watershed Using the SWAT Model. Journal of Hydrologic Engineering, ASCE, 23(4), 05018003. (IF = 2.064)
  9. Himanshu, S. K., Pandey, A. and Yadav, B. (2017). Assessing the Applicability of TMPA-3B42V7 Precipitation Dataset in Wavelet-Support Vector Machine Approach for Suspended Sediment Load Prediction. Journal of Hydrology, 550:103–117. (IF = 5.722)
  10. Pandey, A., Himanshu, S. K., Mishra, S. K. and Singh, V. P. (2016). Physically Based Soil Erosion and Sediment Yield Models Revisited. CATENA, 147: 595-620. (IF = 5.198)
  1. Ale, S., Himanshu, S. K., Bell, J., Fan, Y., Bordovsky, J. and Gitz III, D. Evaluation of efficient crop-growth-stage-based deficit irrigation strategies for cotton and grain sorghum production in the Texas High Plains. Ogallala Aquifer Program (OAP), USA. US$ 38,000 (2020-2021).
  2. Ale, S., DeLaune, P.B. and Himanshu, S. K. Evaluation of Soil Health Benefits of Cover Crops in Cotton Production Systems of the Texas Rolling Plains. Cotton Incorporated, USA. US$ 40,000 (2019-2021).
  3. Datta, A., and Himanshu, S. K. Nutrient and Irrigation Water Management in Field and Horticultural Crops through Smart Agriculture Technologies. Junagarh Agriculture University, India. US$ 33,335 (2021-2023).
  4. Himanshu, S. K., Datta, A., Zulfiqar, F., Anal, A. K., Jeong, H., Cha-um, S., Gupta, S., Roy, D. K., Santiago-Arena, R. D., and Tien, N. D. Evaluation of Crop Management and Genotype-Based Climate Change Adaptation Strategies for Sustaining Rice Production in The Lower Mekong Basin. Asia-Pacific Network for Global Change Research. US$ 79,000 (2022-2024). (Under review)
  5. Himanshu, S.K., Loc, H. and Datta, A. Development of a Near-Real-Time Soil Moisture Monitoring App Using Machine Learning Approach and Open-Source Satellite-Based Remote Sensing Datasets. Bayer Crop Science — Remote Sensing for Smallholder Farms. US$ 288,000 (2022-2024). (Under review)