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Dr. Sushil Kumar Himanshu

Position
Associate Professor
Unit
Agricultural Systems, Engineering and Agribusiness (ASEA), Faculty of Food, Agriculture, and Natural Resources
Contact Info
(+66-2)524 5480
[email protected]
Download full CV
Media Links
Personal website
QUALIFICATION
AREA OF EXPERTISE
SELECTED PUBLICATIONS
SELECTED RESEARCH PROJECTS

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 Agricultural Systems
  • Smart Irrigation Strategies and Decision Support Systems
  • Remote Sensing, GIS, Drones, and IoT Applications in Agriculture
  • Big Data Analytics and AI/ML Applications in Agriculture
  • Hydroponic and Vertical Farming Production Systems
  • Agro-meteorological Forecasts and Advisories Services
  • Cropping System Modelling
  1. Gade SA, Madolli MJ, García‐Caparrósc P, Ullah H, Cha-um S, Datta A, Himanshua SK*. (2025). Advancements in UAV remote sensing for agricultural yield estimation: a systematic comprehensive review of platforms, sensors, and data analytics. Remote Sensing Applications: Society and Environment, 37, 101418, https://doi.org/10.1016/j.rsase.2024.101418.
  2. Vilavan S, Das D, Ullah H, Ahmed SF, Cha-um S, Datta A, Himanshu SK*. (2024).  Simulating the climate change impacts and potential adaptation strategies for rice production in the lower Chao Phraya Basin. Environmental Monitoring and Assessment, 196, 1192, https://doi.org/10.1007/s10661-024-13362-y.
  3. Ahmed SF, Ullah H, Chowdhury R, Bony ZF, Himanshu SK, Attia A, Cha-um S, Datta A. (2024). Natural Adaptations, Tolerance Mechanisms, and Management Concepts of Crop Plants Against Salt Stress: A Critical Review. Advances in Agronomy, 187, 213-309, https://doi.org/10.1016/bs.agron.2024.05.004.
  4. Khalequzzaman, Ullah H, Himanshu SK, García‐Caparrós P, Praseartkul P, Tisarum R, Cha-um S, Datta A. 2024. Exogenous Silicon and Salicylic Acid Applications Enhance Growth, Yield, and Physiological Traits of Cotton Plants under Drought Stress. Journal of Soil Science and Plant Nutrition, 24, 5947–5960, https://doi.org/10.1007/s42729-024-01952-1.
  5. Himanshu SK, Ale S, Bell J, Fan Y, Samanta S, Bordovsky J, Gitz D, Brauer D. (2023). Evaluation of growth-stage-based variable deficit irrigation strategies for cotton production in the Texas High Plains. Agricultural Water Management, 280, 108222, https://doi.org/10.1016/j.agwat.2023.108222.
  6. Himanshu SK*, Pandey A, Madolli M, Palmate S, Kumar A, Patidar N, Yadav B. (2023). An ensemble hydrologic modeling system for runoff and evapotranspiration evaluation over an agricultural watershed. Journal of the Indian Society of Remote Sensing, 51, 177-196, https://doi.org/10.1007/s12524-022-01634-4.
  7. Bawa A, Samanta S, Himanshu SK, Kim J, Singh J, Ale S, Chang A, Jung J, DeLaune P, Bordovsky J, Barnes E. (2023). A support vector machine and image processing-based approach for counting cotton bolls and estimating lint yield from UAV imagery. Smart Agricultural Technology, 3, 100140, https://doi.org/10.1016/j.atech.2022.100140.
  8. Rahman MS, Zulfiqar F, Ullah H, Himanshu SK, Datta A. (2023). Farmers’ perceptions, determinants of adoption, and impact on food security: Case of climate change adaptation strategies in coastal Bangladesh. Climate Policy, 23(10), 1257–1270, https://doi.org/10.1080/14693062.2023.2212638.
  9. Dayal D, Pandey A, Gupta PK, Himanshu SK. (2023). Multi-criteria evaluation of satellite-based precipitation estimates over agro-climatic zones of India. Atmospheric Research, 292, 106879, https://doi.org/10.1016/j.atmosres.2023.106879.
  10. Ale S, Su Q, Singh J, Himanshu SK, Fan Y, Stoker B, Gonzalez E, Sapkota B, Adams C, Biggers K, Kimura E, Wall J. (2023). Development and Evaluation of a Decision Support Mobile Application for Cotton Irrigation Management. Smart Agricultural Technology, 5, 100270, https://doi.org/10.1016/j.atech.2023.100270.
  1. Agro-meteorological Forecasts and Advisories through Mobile Application and Social Media for Climate-smart Agriculture in Thailand and Vietnam – AFAS
    1. Donor: Asian Development Bank (through Landell Mills Ltd.)
    2. Budget: USD 91,540 (THB 3,014,901)
  2. Strengthening Digital Agriculture Ecosystem and Developing e-agriculture Solutions
    1. Donor: Food and Agriculture Organization of the United Nations (FAO)
    2. Budget: THB 1,516,356
  3. Regenerative Agriculture in ASEAN: Promoting Nature-positive Solutions for Rice Production (REGA-ASEAN).
    1. Donor: The Rockefeller Foundation, USA
    2. Budget: USD 300,000 (THB 10,500,00)
  4. Precision Agriculture with Smart Farming Technologies
    1. Donor: The World Bank through the Indian Council of Agricultural Research (ICAR), India
    2. Budget: USD 750,000 (THB 26,500,000)
  5. Agricultural and Rural Transformation for Nutrition, Entrepreneurship, and Resilience in Bangladesh
    1. Donor: Bangladesh Agricultural Research Council (BARC), Bangladesh
    2. Budget: USD 769,794 (THB 26,172,996)