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Computer Science

D-Index
44
Citations
7146
World Ranking
7639
National Ranking
3307

Overview

Won Suk Lee is affiliated with the University of Florida in the United States and has a research focus primarily within the field of Agricultural and Biological Sciences. Their work spans several interconnected subfields, including Plant Science, Electrical and Electronic Engineering, Analytical Chemistry, Ecology, and Cell Biology.

Their research contributions are concentrated on various specialized topics, notably:

  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Photonic and Optical Devices
  • Leaf Properties and Growth Measurement
  • Plant Disease Management Techniques
  • Remote Sensing in Agriculture
  • Berry genetics and cultivation research

Recent published papers by Won Suk Lee demonstrate engagement with different aspects of agricultural automation and sensing technologies. Notable papers include:

  • A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation, 2020, Journal of Biosystems Engineering
  • Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning, 2021, Smart Agricultural Technology
  • Stereo-vision-based crop height estimation for agricultural robots, 2020, Computers and Electronics in Agriculture
  • Active thermal imaging for immature citrus fruit detection, 2020, Biosystems Engineering
  • Deep learning-based postharvest strawberry bruise detection under UV and incandescent light, 2022, Computers and Electronics in Agriculture

Won Suk Lee frequently collaborates with multiple researchers in the field, including:

  • Yiannis Ampatzidis
  • Congliang Zhou
  • John K. Schueller
  • Natália A. Peres
  • Yusheng Bian

Their work is often published in venues that focus on agricultural technology and engineering, such as:

  • SSRN Electronic Journal
  • Computers and Electronics in Agriculture
  • Smart Agricultural Technology
  • Journal of Biosystems Engineering
  • Sensors

Best Publications

  • Review: Sensing technologies for precision specialty crop production

    W. S. Lee;V. Alchanatis;C. Yang;M. Hirafuji

  • Identification of citrus disease using color texture features and discriminant analysis

    R. Pydipati;T. F. Burks;W. S. Lee

  • Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

    Francisco Garcia-Ruiz;Sindhuja Sankaran;Joe Mari Maja;Won Suk Lee

  • Robotic weed control system for tomatoes

    Won Suk Lee

  • Green citrus detection using hyperspectral imaging

    Hiroshi Okamoto;Won Suk Lee

  • Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages

    Yang Chen;Won Suk Lee;Hao Gan;Natalia Peres

  • Green citrus detection using 'eigenfruit', color and circular Gabor texture features under natural outdoor conditions

    Ferhat Kurtulmus;Won Suk Lee;Ali Vardar

  • Identification and determination of the number of immature green citrus fruit in a canopy under different ambient light conditions

    Subhajit Sengupta;Won Suk Lee

  • A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation

    Wan-Soo Kim;Won-Suk Lee;Yong-Joo Kim

  • Spectral difference analysis and airborne imaging classification for citrus greening infected trees

    Xiuhua Li;Won Suk Lee;Minzan Li;Reza Ehsani

  • Immature green citrus fruit detection using color and thermal images

    Hao Gan;Won Suk Lee;Victor Alchanatis;Reza Ehsani

  • Original paper: Diagnosis of bacterial spot of tomato using spectral signatures

    C. D. Jones;J. B. Jones;W. S. Lee

  • DETERMINATION OF SIGNIFICANT WAVELENGTHS AND PREDICTION OF NITROGEN CONTENT FOR CITRUS

    M. Min;W. S. Lee

  • Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

    Sergio Cubero;Won Suk Lee;Nuria Aleixos;Francisco Albert

  • STATISTICAL AND NEURAL NETWORK CLASSIFIERS FOR CITRUS DISEASE DETECTION USING MACHINE VISION

    R. Pydipati;T. F. Burks;W. S. Lee

  • Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network

    Ferhat Kurtulmus;Won Suk Lee;Ali Vardar

  • Recognising blueberry fruit of different maturity using histogram oriented gradients and colour features in outdoor scenes

    Kezhu Tan;Won Suk Lee;Hao Gan;Shuwen Wang

  • Immature green citrus detection based on colour feature and sum of absolute transformed difference (SATD) using colour images in the citrus grove

    Chuanyuan Zhao;Won Suk Lee;Dongjian He

  • Citrus greening disease detection using aerial hyperspectral and multispectral imaging techniques

    Arun Kumar;Won Suk Lee;Reza J. Ehsani;L. Gene Albrigo

  • Color Vision System for Estimating Citrus Yield in Real-time

    Palaniappan Annamalai;Won Suk Lee;Thomas F. Burks

  • Modeling and Testing of Growth Status for Chinese Cabbage and White Radish with UAV-Based RGB Imagery

    Dong-Wook Kim;Hee Sup Yun;Sang-Jin Jeong;Young-Seok Kwon

Frequent Co-Authors

Natalia A. Peres
Natalia A. Peres University of Florida
Paul D. Gader
Paul D. Gader University of Florida
Randy C. Ploetz
Randy C. Ploetz University of Florida
A.H.C. van Bruggen
A.H.C. van Bruggen University of Florida
Jeffrey B. Jones
Jeffrey B. Jones University of Florida
Burton H. Singer
Burton H. Singer University of Florida
José Blasco
José Blasco University of Valencia
Sang-Wook Kim
Sang-Wook Kim Ajou University
Sabine Grunwald
Sabine Grunwald University of Florida
Jong-Ho Lee
Jong-Ho Lee Soongsil University

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