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Yunseop (James) Kim.
CONTACT INFORMATION
Post Doctoral Research Associate
Phone: 406.433.9477
Fax: 406.433.5038
E-mail: jkim[at]sidney.ars.usda.gov

EDUCATION
Image indenting B.S. Biology. B.S. Agricultural Machinery Engineering 1994 Sungkyunkwan University, Korea
Image indenting B.S. Biology. M.S. Bioresource Engineering 1999 Rutgers University
Image indenting Ph. D. Evolutionary & Population Biology. Ph.D. Agricultural Engineering 2002 University of Illinois at Urbana-Champaign

CURRENT RESEARCH
The focus of James’ research is to develop an integrated wireless network of spatially-distributed micrometeorological, soil water, and other types of in-field sensors across a field for automated, real-time irrigation scheduling techniques for self-propelled center pivot water application systems. The specific goals of this research are to predict and compare measured crop water use with both well-established techniques and in-field sensor-based measurement systems for use in computerized site-specific, real-time crop water management control systems and develop criteria for the optimal site-specific configurations and locations of various spatially-distributed sensor systems.
 
RESEARCH EXPERIENCE
Prior to joining the USDA-Agricultural Research Service in 2005, James was a Senior Engineer at John Deere where his research focused on optical sensing of the reflectance of plant canopies for site-specific crop management by assessing crop nutrient stress. He developed a real-time multi-spectral imaging system to predict plant nutrient status based on leaf reflectance. He also worked as a System Integration Engineer in field robotics and autonomous navigation projects to develop unmanned vehicles for lawn and turf applications. His Ph.D. work was dedicated to the development of a multi-spectral image sensor to assess nitrogen stress of corn crop and conducted in cooperation with Case Corporation, where he formulated corrections for robust reflectance response under varying natural ambient illumination.
 
PUBLICATIONS
  • Kim Y. and J. F. Reid. 2004. Multispectral imaging technology for site-specific crop fertilization, Encyclopedia of Agricultural, Food, and Biological Engineering 10.1081/E-EAFE-120026899: 1-5.

  • Kim Y. and J. F. Reid. 2003. Multi-spectral vision technology for precision farming, Resource 10(5): 17.

  • Kim Y. and P. Ling. 2002. Machine vision guided sensor positioning system for leaf temperature assessment, Transactions of the ASAE 44(6): 1941-1947.

  • Kim, Y., J. F. Reid, A. Hansen, Q. Zhang. 2000. On-field crop stress detection system using multi-spectral image sensor. An International Journal of Agricultural and Biosystems Engineering 1(2): 88-94.

ABSTRACTS
  • Kim, Y. and J. F. Reid. 2004. Apple yield mapping using a multi-spectral imaging sensor. AgEng2004 Paper No. 010-PA-235. Leuven, Belgium.

  • Kim, Y. and J. F. Reid. 2002. Bi-directional effect on a multi-spectral imaging sensor for crop nitrogen assessment. ASAE Paper No. 02-3010. St. Joseph, MI: ASAE.

  • Kim, Y., J. F. Reid, and S. Han. 2002. Evaluation of a real-time sensing and fertilizer control. Proceedings of the 2002 ASAE Annual International Meeting on Automatic Technology for Off-road Equipment : 102-111.

  • Kim, Y., J. F. Reid, G. Huber, and J. Schächtl. 2002. Real-time nitrogen assessment for wheat using multi-spectral imaging sensor. In International Conference on Agricultural Engineering, AgEng2002 Paper No. 02-PA-018, Budapest, Hungary.

  • Kim, Y., J. F. Reid, A. Hansen, Q. Zhang, and M. Dickson. 2001. Ambient illumination effect on a multi-spectral image sensor for detecting crop nitrogen stress. ASAE Paper No. 01-1178. St. Joseph, MI: ASAE.

  • Kim, Y., J. F. Reid, and Q. Zhang. 2001. Fuzzy control of multi-spectral image sensor for detecting crop nitrogen stress. In IFAC-CIGR Workshop on Intelligent Control for Agricultural Applications, Bali, Indonesia.

  • Kim, Y., Q. Zhang, and J. F. Reid. 2001. Fuzzy logic for image quality control of a field crop imaging sensor. In 1st IFAC Conference of Telematics Application in Automation and Robotics TA 2001, Weingaten, Germany.

  • Kim, Y., J. F. Reid, Q. Zhang, and A. Hansen. 2000. Infotronic decision-making for a field crop sensing system in precision agriculture. In 2nd IFAC/CIGR International Workshop on Bio-Robotics, Information Technology, and Intelligent Control for Bioproduction Systems, Osaka, Japan.

  • Kim, Y., J. F. Reid, A. Hansen, and M. Dickson. 2000. Evaluation of a multi-spectral imaging system to detect nitrogen stress of corn crops. ASAE Paper No. 00-3128. St. Joseph, Mich.: ASAE.

  • Kim, Y., P. Ling, K. C. Ting, and N. Kondo. 1999. Development of a robotic camera system for 3-D sensor positioning. ASAE Paper No. 99-3075. St. Joseph, Mich.: ASAE.

  • Kim, Y., P. Ling, K. C. Ting, and N. Kondo. 1998. 3D calibration using a motorized zoom camera for leaf temperature sensing system. ASAE Paper No. 98-3035. St. Joseph, Mich.: ASAE.

  • Kondo, N., M. Monta, K. C. Ting, G.A. Giacomelli, D.R. Mears, and Y. Kim. 1997. Harvesting robot for inverted single truss tomato production systems. In International Workshop on Robotics and Automated Machinery for Bio-Productions, Gandia, Spain.

  • Monta, M., N. Kondo, K. C. Ting, G. A. Giacomelli, D. R. Mears, and Y. Kim. 1996. End-effector for tomato harvesting robot. ASAE Paper No. 96-3007. St. Joseph, Mich.: ASAE.

 

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