1. K-State home
  2. »Plant Pathology
  3. »People
  4. »Research / Technical Staff
  5. »Dr. Xu (Kevin) Wang

Department of Plant Pathology

Dr. Xu (Kevin) Wang

Dr. Xu (Kevin) Wang

Research Associate

Email Dr. Wang

Kansas State University
4731 Throckmorton PSC
1712 Claflin Road
Manhattan, KS 66506

Ph: +1-785-532-2363
Fx: +1-785-532-5692


  • Ph.D. Biological Agricultural Engineering, Kansas State University (2014)
  • M.Eng. Computer Engineering, China Agricultural University (2009)
  • B.S. Computer Science and Technology, China Agricultural University (2006)


  • Instructor for Field-Based High-Throughput Phenotyping Workshop at Maricopa Agricultural Center, University of Arizona (2014-2015)
  • Lab instructor for Measurement Systems, Instrumentation and Control for Biological Systems, Sensors and Control for Biological and Agricultural Systems in the Department of Biological and Agricultural Engineering, Kansas State University (2010-2013)
  • Lead designer, programmer, and team captain (2012) of KSU Robotics Design Team, securing four championships in the ASABE International Student Robotics Design Competition (2010-2013)
  • Member, American Society of Agricultural and Biological Engineers (2010-present)


  • Wang, X., K. Thorp, J. White, A. French, J. Poland. Approaches for Geospatial Processing of Field-Based High-Throughput Plant Phenomics Data from Ground Vehicle Platforms. Transaction of the ASABE. (under peer review)


My research experience started in 2005 regarding computer networks and pattern recognition. Since 2009, I have been working on a multi-tier wireless sensor network for remotely monitoring sediment flux within streams. Currently, I am focusing on field-based high-throughput phenotyping (HTP) on winter wheat and sorghum. I was involved to develop multiple field-based HTP platforms, consisting of proximal sensors, image acquisition devices, and GNSS integrated with ground-, aerial-, and robotic-based platforms, as well as phenomics data processing pipelines. My previous and current projects are funded by DOD ESTCP, NSF PGRP, and DOE ARPA-E.