World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
5563
World Ranking
9367
National Ranking
2631

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For innovation in automation technologies for agricultural systems.

Overview

John F. Reid is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple domains within engineering and agricultural sciences, focusing on advanced photonic communication systems and smart agriculture technologies.

Their recent publications include:

  • 4 Tbps+ FSO Field Trial Over 1.8 km With Turbulence Mitigation and FEC Optimization, 2024, Journal of Lightwave Technology
  • A scalable index for quantifying circularity of bioeconomy systems, 2024, Resources Conservation and Recycling
  • Unraveling "Fiber in the Sky": Terabit Capacity Enabled by Coherent Optical Wireless, 2023, IEEE Communications Magazine
  • Achieving multi-terabit FSO capacity with coherent WDM transmission over a 1.8 km field trial, 2023, IET conference proceedings.
  • Agricultural Robotics and Automation [TC Spotlight], 2022, IEEE Robotics & Automation Magazine

Their frequent co-authors include:

  • Marco A. Fernandes
  • Gil M. Fernandes
  • Bruno T. Brandão
  • Nourdin Kaai
  • Bas van Der Wielen

John F. Reid has contributed to several publication venues, such as:

  • Journal of Lightwave Technology
  • Resources Conservation and Recycling
  • IEEE Communications Magazine
  • IET conference proceedings.
  • IEEE Robotics & Automation Magazine

Their main fields of study include:

  • Engineering
  • Agricultural and Biological Sciences

More specifically, their research covers subfields including:

  • Electrical and Electronic Engineering
  • Plant Science
  • Atomic and Molecular Physics, and Optics
  • Aerospace Engineering
  • General Agricultural and Biological Sciences

The key topics of their work involve:

  • Optical Wireless Communication Technologies
  • Orbital Angular Momentum in Optics
  • Bioeconomy and Sustainability Development
  • Advanced Photonic Communication Systems
  • Optical Network Technologies
  • Smart Agriculture and AI
  • Radio Wave Propagation Studies

In 2019, John F. Reid was recognized as a Member of the National Academy of Engineering for innovation in automation technologies for agricultural systems.

Best Publications

  • Agricultural automatic guidance research in North America

    John F. Reid;Qin Zhang;Noboru Noguchi;Monte Dickson

  • Sensor-fusion navigator for automated guidance of off-road vehicles

    Monte A. Dickson;Noboru Noguchi;Qin Zhang;John F. Reid

  • DEVELOPMENT OF A PRECISION SPRAYER FOR SITE-SPECIFIC WEED MANAGEMENT

    L. Tian;J. F. Reid;J. W. Hummel

  • Development of a master-slave robot system for farm operations

    Noboru Noguchi;Jeff Will;John Reid;Qin Zhang

  • Trajectory path planner for a vision guidance system

    Monte Andre Dickson;Bingcheng Ni;Shufeng Han;John F. Reid

  • RGB calibration for color image analysis in machine vision

    Young-Chang Chang;J.F. Reid

  • A guidance directrix approach to vision-based vehicle guidance systems

    S Han;Q Zhang;B Ni;J.F Reid

  • Evaluation of Colour Representations for Maize Images

    Irfan S. Ahmad;John F. Reid

  • Stereo vision three-dimensional terrain maps for precision agriculture

    Francisco Rovira-Más;Qin Zhang;John F. Reid

  • Corn Kernel Breakage Classification by Machine Vision Using a Neural Network Classifier

    K. Liao;M.R. Paulsen;J.F. Reid;B.C. Ni

  • Hough-transform-based vision algorithm for crop row detection of an automated agricultural vehicle

    F Rovira-Más;Q Zhang;J F Reid;J D Will

  • Robotics in agriculture and forestry

    Marcel Bergerman;John Billingsley;John F. Reid;Eldert J. van Henten

  • Color Classifier for Symptomatic Soybean Seeds Using Image Processing.

    Irfan S. Ahmad;John F. Reid;Marvin R. Paulsen;James B. Sinclair

  • Vision-based guidance of an agriculture tractor

    J. Reid;S. Searcy

  • MACHINE VISION–BASED GUIDANCE SYSTEM FOR AN AGRICULTURAL SMALL–GRAIN HARVESTER

    ER Benson;JF Reid;Qinglin Zhang

  • Automatic machine vision microscope slide inspection system and method

    John F. Reid;John O'Brien

  • Obstacle detection using stereo vision

    John Franklin Reid

  • Machine vision-based guidance system for agricultural grain harvesters using cut-edge detection

    E.R Benson;J.F Reid;Q Zhang

  • Creation of Three-dimensional Crop Maps based on Aerial Stereoimages

    F. Rovira-Más;Q. Zhang;J.F. Reid

  • Real-Time Detection of Colour and Surface Defects of Maize Kernels Using Machine Vision

    K. Liao;Marvin R. Paulsen;J.F. Reid

Frequent Co-Authors

Qin Zhang
Qin Zhang Washington State University
Qiang Zhang
Qiang Zhang Peking University
Qiang Zhang
Qiang Zhang Tsinghua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing John F. Reid

Trending Scientists

Recently Published Articles