Won Suk “Daniel” Lee
Professor
Agricultural and Biological Engineering Dept.
Frazier Rogers Hall, 1741 Museum Rd.
University of Florida
Gainesville, FL 32611
Tel: (352) 294-6721
Fax: (352) 392-4092
Email: wslee@ufl.edu
EDUCATION/TRAINING
INSTITUTION AND LOCATION
Seoul National University, Korea
Seoul National University, Korea
University of California, Davis
Texas A&M University

DEGREE
B.Sc.
M.Sc.
Ph.D.
Post-Doc

YEAR(s)
1986
1988
1998
1998-2000

FIELD OF STUDY
Agricultural Engineering
Agricultural Engineering
Biological & Ag. Engr.
Biological & Ag. Engr.

EMPLOYMENT HISTORY
2000-present, University of Florida2000-2006: Assistant Professor, Dept. of Agricultural and Biological Engineering
2006-2013: Associate Professor, Dept. of Agricultural and Biological Engineering
2013-present: Professor, Dept. of Agricultural and Biological Engineering
AREAS OF SPECIALIZATIONMy areas of specialization include: sensing systems, artificial intelligence (AI), precision agriculture,
farm automation, Global Navigation Satellite System (GNSS), geographic information systems (GIS),
near-infrared spectroscopy (NIRS), image processing, machine vision, yield monitoring/mapping,variable rate fertilizer application, instrumentation, machinery, and agricultural mechanization.
TEACHING EXPERIENCE– Undergraduate: Precision Agriculture, Pesticide Application Technology– Graduate: Advanced Precision Agriculture, Ag. Chem. Application Technology
HONORS AND AWARDS‒ Gamma Sigma Delta, The Honor Society of Agriculture, University of Florida Chapter, Member,2009-present.
- Past President, 2012-Current.
- President, 2011-12. Received a 2011 Silver Chapter Award. Also awarded $150 from theGSD International Executive Committee for the Chapter Enhancement Award.
- 2006, 2007, 2008, 2011 Certificate of Appreciation, Invited reviewer, American Society ofAgricultural and Biological Engineers (ASABE)- 2007-present. Honorary Scientist, appointed by the Rural Development Administration, Korea- 2013. ASABE IET (Information and Electrical Technologies) Best Paper Award.
- 2017-20. University of Florida Research Foundation (UFRF) Professorship- 2017-20. University of Florida Term Professorship- 2020-present. Fellow, ASABE- 2021-present. Editor-in-Chief in the Smart Agriculture Section in Sensors journal.

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GRANTS RECEIVED (LAST 4 YEARS)– Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop
management, 2014-2018. BARD. PI.
–Automated strawberry flower counting system using machine vision for yield prediction. 2017-18.
Florida Strawberry Research and Education Foundation. PI.

–Monitoring wetness of strawberry plants using thermal imaging for the Strawberry Advisory System(SAS). 2018-19. PI.

–Automated strawberry flower counting system using machine vision for yield prediction. 2018-19.
Florida Strawberry Research and Education Foundation. PI.

–Development of obstacle recognition technology for path tracking. 2018-2022. Tong Yang Moolsan.
PI.

–Strawberry yield prediction models based on imagery information. 2019-2020. Florida Strawberry
Research and Education Foundation. PI.

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Monitoring wetness of strawberry plants using thermal imaging for the Strawberry Advisory System(SAS). 2019-20. PI.

–

Novel smartphone vision tool to improve spider mite monitoring in strawberry and almond. 20192023. USDA NIFA Foundational and Applied Science. PI.

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Monitoring wetness of strawberry plants using thermal imaging for the Strawberry Advisory System(SAS). 2020-21. PI.

–

Monitoring strawberry plant wetness using color and thermal imaging for the Strawberry Advisory
System (SAS). 2021-22. PI.

–

Monitoring strawberry plant wetness using color imaging and artificial intelligence for the Strawberry
Advisory System (SAS). 2022-23. PI.

REFEREED PUBLICATIONS (LAST 4 YEARS)
1. Gan, H., W.S. Lee, V. Alchanatis, R. Ehsani, and J. K. Schueller. 2018. Immature green citrus fruit
detection using color and thermal images. Computers and Electronics in Agriculture 152: 117-125.
2. Gan, H., W.S. Lee, and V. Alchanatis. 2018. A photogrammetry-based image registration method for
multi-camera systems - with applications in images of a tree crop. Biosystems Engineering 174: 89106.
3. Kim, D.-W., H. S. Yun, S.-J. Jeong, Y.-S. Kwon, S.-G. Kim, W. S. Lee, and H.-J. Kim. 2018. Modelingand testing of growth status for Chinese cabbage and white radish with UAV-based RGB imagery.
Remote Sens. 10(4): 563. https://doi.org/10.3390/rs10040563.
4. Lu, J., W. S. Lee, H. Gan, and X. Hu. 2018. Immature citrus fruit detection based on local binary pattern
feature and hierarchical contour analysis. Biosystems Engineering 171: 78-90.
5. Shimwela, M. M., Schubert, T. S., Albritton, M., Halbert, S. E., Jones, D. J., Sun, X., Roberts, P. D.,Singer, B. H., Lee, W. S., Jones, J. B., Ploetz, R. C., and van Bruggen A. H. C. 2018. Regional spatialtemporal spread of citrus huanglongbing is affected by rain in Florida. Phytopathology.
http://dx.doi.org/10.1094/PHYTO-03-18-0088-R.
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6. Shimwela, M. M. , Halbert, S. E., Keremane, M. L., Mears, P., Singer, B., Lee, W. S., Jones, J. B.,
Ploetz, R. C., and van Bruggen A. H. C. 2018. In-grove spatio-temporal spread of citrus huanglongbing
and its psyllid vector in relation to rain. https://doi.org/10.1094/PHYTO-03-18-0089-R
7. Shuaibu, M., W. S. Lee, J. K. Schueller, P. Gader, Y. K. Hong, and S. Kim. 2018. Unsupervised
hyperspectral band selection for apple Marssonina blotch detection. Computers and Electronics inAgriculture 148: 45-53.
8. Wang, C., W. S. Lee, X. Zou, D. Choi, H. Gan, and J. Diamond. 2018. Detection and counting ofimmature green citrus fruit based on the Local Binary Patterns (LBP) feature using illuminationnormalized images. Precision Agriculture Doi: 10.1007/s11118-018-9574-5.
9. Zhang, Y., W. S. Lee, M. Li, L. Zheng, M. A. Ritenour. 2018. Non-destructive recognition andclassification of citrus fruit blemishes based on ant colony optimized spectral information. Postharvest
Biology and Technology, 143: 119-128.
10. Ding, Y., W. S. Lee, and M. Li. 2018. Feature extraction of hyperspectral images for detecting
immature green citrus fruit. Frontiers of Agricultural Science & Engineering 5(4): 475-484.
https://doi.org/10.15302/J-FASE-2018241.
11. Tan, K., W. S. Lee, H. Gan, and S. Wang. 2018. Recognising blueberry fruit of different maturity
using histogram oriented gradients and colour features in outdoor scenes. Biosystems Engineering,
176: 59-72. https://doi.org/10.1016/j.biosystemseng.2018.08.011.
12. Kang, Y. S., C. S. Ryu, S. R. Jun, S. H. Jang, J. W. Park, H. Y. Song, T. K. Sarkar, S. H. Kim, and W.
S. Lee. 2018. Distinguishing between closely related species of Allium and of Brassicaceae bynarrowband hyperspectral imagery. Biosystems Engineering, 176: 103-113.
https://doi.org/10.1016/j.biosystemseng.2018.10.003.
13. Jang, S. H., Y. K. Hwang, H. J. Lee, J. S. Lee, W. S. Lee, Y. H. Kim. 2018. Shortwave infrared
hyperspectral imaging can predict moisture content in grafted cucumber seedlings. Korean Journal of
Horticultural Science & Technology, 36(6): 831-840.
14. Chen, Y., W. S. Lee, H. Gan, N. Peres, C. Fraisse, Y. Zhang, and Y. He. 2019. Strawberry yieldprediction based on a deep neural network using high-resolution aerial orthoimages. Remote Sensing,11, 1584. doi:10.3390/rs11131584.
15. Lin, P. W. S. Lee, Y. M. Chen, N. Peres, and C. Fraisse. 2019. A deep-level region-based visual
representation architecture for detection strawberry flowers in an outdoor field. Precision Agriculture,https://doi.org/10.1007/s11119-019-09673-7.
16. Zhang, Y., M. Li, L. Zheng, Q. Qin, W. S. Lee. 2019. Spectral features extraction for estimation ofsoil total nitrogen content based on modified ant colony optimization algorithm. Geoderma 333: 2334.
17. Shimwela, M. M., Halbert, S. E., Keremane, M. L., Mears, P., Singer, B., Lee, W. S., Jones, J. B.,
Ploetz, R. C., and van Bruggen A. H. C. 2019. In-grove spatio-temporal spread of citrus
huanglongbing and its psyllid vector in relation to weather. Phytopathology, 109: 418-427.
https://doi.org/10.1094/PHYTO-03-18-0089-R.
18. Askey, B. C., R. Dai, W. S. Lee, and J. Kim. 2019. A noninvasive, machine learning based method
for monitoring anthocyanin accumulation in plants using digital color imaging. Applications in Plant
Sciences, 7(11): e11301. https://doi.org/10.1002/aps3.11301.
19. Mizuta, K, S. Grunwald, M. A. Phillips, W. P. Cropper, W. S. Lee, and G. M. Vasques. 2019. Newindication method using pedo-econometric approach. Data Envelopment Analysis Journal, 4(2): 207241. http://dx.doi.org/10.1561/103.00000028.
20. Park, S. H., Y. K. Hong, M. Shuaibu, S. Kim, and W. S. Lee. 2020. Detection of apple Marssonina
blotch with PLSR, PCA, and LDA using outdoor hyperspectral imaging. Spectral Analysis 40(4):1309-1314.
21. Queiroz, D. M., E. D. T. Santos, W. S. Lee, and J. K. Schueller. 2020. Development and testing of alow-cost portable apparent soil electrical conductivity sensor using a BeagleBone Black. Applied
Engineering in Agriculture 35(3): 341-355.

322. Swarup, A., W. S. Lee, N. Peres, and C. Fraisse. 2020. Strawberry plant wetness detection using color
and thermal imaging. J. of Biosystems Engineering. Published online: 10 February 2021.
https://doi.org/10.1007/s42853-020-00080-9.
23. Gan, H., W. S. Lee, V. Alchanatis, and A. Abd-Elrahman. 2020. Active thermal imaging forimmature citrus fruit detection. Biosystems Engineering 198: 292-303.
https://doi.org/10.1016/j.biosystemseng.2020.08.015.
24. Kim, W.-S., W. S. Lee, and Y.-J. Kim. 2020. A review of the applications of the Internet of Things(IoT) for agricultural automation. Journal of Biosystems Engineering. Published November 26, 2020.
https://doi.org/10.1007/s42853-020-00078-3.
25. Woo, S., D. D. Uyeh, J. Kim, Y. Kim, S. Kang, K. C. Kim, S. Y. Lee, Y. Ha, and W. S. Lee. 2020.
Analyses of work efficiency of a strawberry-harvesting robot in an automated greenhouse. Agronomy
10(11): 1751. https://doi.org/10.3390/agronomy10111751.
26. Kim, W.-S., D.-H. Lee, Y.-J. Kim, T. Kim, W. S. Lee, C.-H. Choi. 2021. Stereo-vision-based cropheight estimation for agricultural robots. Computers and Electronics in Agriculture 181 (2021)
105937. https://doi.org/10.1016/j.compag.2020.105937.
27. Uyeh , D. D., J. Kim, S. Lohumi, T. Park, B.-K. Cho, S. Woo, W. S. Lee, and Y. Ha. 2021. Rapid andnon-destructive monitoring of moisture content in livestock feed using a global hyperspectral model.
Animals 11, 1299. https://doi.org/10.3390/ani11051299.
28. Xie, C., and W. S. Lee. 2021. Detection of citrus black spot symptoms using spectral reflectance.
Postharvest Biology and Technology 180, 111627.
https://doi.org/10.1016/j.postharvbio.2021.111627.
29. Zhou, X., W. S. Lee, Y. Ampatzidis, Y. Chen, N. Peres, C. Fraisse. 2021. Strawberry maturity
classification from UAV and near-ground imaging using deep learning. Smart Agricultural
Technology Volume 1, 2021, 100001. https://doi.org/10.1016/j.atech.2021.100001.
30. Zhou, X., Y. Ampatzidis, W. S. Lee, C. Zhou, S. Agehara, and J. K. Schueller. 2022. Deep learningbased postharvest strawberry bruise detection under UV and incandescent light. Computers andElectronics in Agriculture 202 (2022) 107389. https://doi.org/10.1016/j.compag.2022.107389.

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