Agricultural and Biological Engineering Department
Frazier Rogers Hall Room 227
P. O. Box 110570
University of Florida
Gainesville, FL 32611-0570
(Tel) 352-392-1864 Ext. 227
(Fax) 352-392-4092
Assistant Professor, University of Florida, 5/2000 - 6/2006.
- Precision Agriculture Laboratory
- Soil nutrient sensing
- Citrus nitrogen sensing
- Phosphorus sensing in the Lake Okeechobee drainage basins
- Citrus yield mapping using machine vision
- Green citrus detection
- Silage yield mapping
- Precision farming adoption by Florida citrus producers
- Publications
Postdoctoral Research, Texas A&M, 7/1998 - 5/2000.
Sensing nutrients for corn plants for precision farming. Conducted a research project on developing a nitrogen sensor which can detect nitrogen amount on crop plants using spectral reflectance techniques and constructed a prototype nitrogen sensor using photodiode arrays. Completed a software to operate and digitize the sensor output and display them. The nitrogen sensor is currently being developed and tested with corn plants.
Conducted a research on cotton yield mapping data with different damping materials in a frequency domain to reduce noise from a load cell signal due to machine vibration. Participated in a field test of the cotton yield mapping system in a commercial cotton field.
Conducted a research on a simulation of yield calculation by distance based and weight based methods with different types of input and noise in order to find out which method estimated better yield.
Participated in a research project to install a new yield mapping system on a cotton stripper in USDA ARS cotton research laboratory, Lubbock, TX.
Dr. Stephen W. Searcy, Department of Agricultural Engineering.
Doctoral Research, UC Davis, 9/1993 - 6/1998.
Conducted a research project on a real-time intelligent robotic weed control system for selective herbicide application to in-row weeds using machine vision and precision chemical application. Developed a prototype weed control machine, uniform illumination device for field use, and a microprocessor controlled precision spraying system. Developed and implemented real-time computer vision algorithm for plant identification and weed control. Tested the prototype system in commercial tomato fields in Northern California.
Conducted a research on color look-up tables for color image segmentation in different color spaces and found look-up tables built only with hue gave the best performance.
Conducted a research on recognition and separation of occluded plant leaves. Developed five different modified watershed algorithms and estimated the impact of those algorithms on plant recognition rate.
Conducted a research to evaluate varietal effects on tomato cotyledon orientation (diurnal change) for machine vision identification and found the critical angle of recognition for a tomato cotyledon.
Investigated a feasibility for identifying tomato plants by their color alone using transgenic tomato plants with “purple” foliage. Developed a real-time machine vision algorithm for recognition of purple tomato plants and found this technique very promising as a future weed control method.
Conducted a preliminary field testing of the non-chemical in-row weed control system for tomato transplants.
Conducted a research of near-infrared analysis to find out the best partial least square equation of spectra for soluble solids of tomato fruits.
Conducted a research to find sugar bands for glucose, fructose, and glucose in order to use with quality evaluation of kiwi fruits. Collected data of transmittance spectra of kiwi fruits and soluble solids and analyzed them for quality evaluation of kiwi fruits.
Participated in demonstration of the UC Davis Robotic Cultivator with a specially modified Navigator shifting three-point hitch in a cutting-edge technology demonstration for the vegetable industry.
Completed a Ph.D. dissertation titled “Robotic weed control system for tomatoes”.
Dr. David Slaughter, Department of Biological and Agricultural Engineering.
RELATED QUOTATIONS OF THE WEED CONTROL PROJECT BY MEDIA
- Ronan, Don. 1997. High-Tech Farms. Future Watch, CNN. Aired Aug. 17, 1997.
- Slater, Eric. 1997. No more cows, sows and plows. L.A. Times. July 4, 1997.
- Lin, Carol. 1997. ABC World News. Aired May 9, 1997.
- Booth, William. 1996. Weed-Whacking on Smart Farms. Wired. October, 1996. Issue 4.10: 160-164, 215-216.
Masters Research, Seoul National University, Suwon, Korea, 3/1986 - 2/1988.
Conducted research in drying red peppers. Designed a drying experimental apparatus and conducted drying tests with different varieties having different thickness of pericarp of red peppers.
Conducted a survey for agricultural and marine products in Southern Korea. Summer, 1986.
Completed a M.S. thesis titled "A single layer drying equation for red pepper"
Dr. Hak Kyun Koh, Department of Agricultural Engineering.
TEACHING EXPERIENCE
University of Florida, 6/2000 - present.
AOM 3333 Pesticide Application Technology
AOM 4434 Precision Agriculture
AOM 5334C Agricultural Chemical Application Technology
AOM 5435 Advanced Precision Agriculture
University of California, Davis, 9/1993 -
6/1998.
Assisted teaching EBS75 Properties of Materials in Biological Systems: Prepared and assisted
laboratory activities. Winter, 1997.
Seoul National University, Suwon, Korea, 3/1986 - 2/1988
Taught Agricultural Mechanics Shop course, prepared and graded homework and exams. Fall,
1986.
EXPERTISE
LANGUAGE
PROFESSIONAL SOCIETIES
HONORS
LEADERSHIP AND COMMUNITY SERVICE ACTIVITIES
Last modified on March. 18, 2009.