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Johnny Li

Johnny (Liujun) Li

Assistant Professor — Precision Agriculture & Intelligent Robotics


James Martin Building, Room 81A



Mailing Address

Department of Soil and Water Systems
University of Idaho
875 Perimeter Drive MS 2060
Moscow, ID 83844-2060

Johnny’s research is focused on robotics sensing, control and computing and their interfacing with artificial intelligence and decision support systems for climate-smart agriculture, sustainable manufacturing and infrastructural management.

Ph.D., Central South University, 2012
M.S., Central South University, 2005
B.S., Hunan Agricultural University, 2002

  • IoT sensors, Autonomous robots and intelligent drones system development
  • Multimodal remote/proximal sensing and High-throughput phenotyping
  • Crop modeling and remote sensing data assimilation for precision agriculture
  • Advance image processing and geospatial data high-performance computing
  • Big data analysis, explainable and interpretable artificial intelligence
  • Plant-animal-air-soil-water multiple-scale modeling and multiple source data fusion for domain-specific decision support system

Johnny Li is an assistant professor in the Department of Soil and Water Systems in the College and Agricultural and Life Science at the University of Idaho. He is the founding director of Precision Agriculture and Intelligent Robotics Laboratory (PAIR) and he is also an affiliate professor at the Center for Intelligent Industry Robot (CI2R) at the University of Idaho.

Li’s research is at the intersection of IoT/robotics sensing, control and computing because of his interdisciplinary background on the design, control, and modeling of dynamic systems trained in agricultural automation (bachelor’s degree), material science (master’s degree) and mechatronics (doctorate) as well as extensive R&D experience of agricultural and defense IoT sensor and robots-enable remote sensing and precision agriculture gained from working in academia and private industry. The long-term research goal of Li’s group is to empower Agricultural Intelligent Cyber-Physical Systems (AI-CPS) for sustainable agricultural and environmental management though advancing the sensing, control, and communication theories of robotics and IoT sensors and integrating them into scalable computational resources at edge and cloud to support data-driven agronomic decision strategies. Li’s research focuses on research and developing next-generation IoT and robotics sensing, control and computing and their interfacing with interpretable artificial intelligence and climate-smart decision support systems through extensive in-field measurement, ground vehicle and robot, UAV and satellite imaging, deep machine learning and high-performance computing, and process-based agricultural production system modeling. His lab closely works with computer scientists, soil scientists, plant physiologists, agronomists, engineers in addressing the sustainable agricultural and environment management challenges.

Li has been the PI on over $1.5M grants awarded from NSF and DoD since 2019. He has authored over 40 publications in scientific peer-reviewed journals.

  • NSF CGCA Panel Fellows for CMMI’s Game Changer Academies for Advancing Research Innovation, 2022
  • Associate Editor of Agricultural Engineering International: CIGR (Commission Internationale du Genie Rural) Journal, 2013


University of Idaho

Physical Address:
E. J. Iddings Agricultural Science Laboratory, Rm 242
606 S Rayburn St

Mailing Address:
875 Perimeter Drive MS 2340
Moscow, ID 83844-2340