George Meyer

George Meyer, Ph.D.

Contact Information:
244 L. W. Chase Hall
Lincoln: East Campus
(402) 472-3377
gmeyer1@unl.edu
Email   
Personal Links:
Curriculum Vitae (CV)

Professor of Biological Systems Engineering
Academic Degrees
  • Ph.D., Food & Agricultural Engineering, University of Massachusetts - Amherst
  • M.S., Food & Agricultural Engineering, University of Massachusetts - Amherst
  • B.S., Agricultural Engineering, Cornell University - Ithaca, NY
Appointment
  • 40% Teaching
  • 55% Research
  • 5% Service
Areas of Research and Professional Interest
  • Machine vision
  • Electrical optical sensors
  • Thermal and spectral analysis for plant detection, identification, enumeration, physiological properties and stress applied to both field and greenhouse site specific crop management
  • Mathematical modeling and simulation of plant growth and development
Teaching Interests
  • Instrumentation and controls Thermodynamics of living systems

Honors and Awards

  • ASABE Blue Ribbon Award, 2009
  • UNL Parents Association Recognition Award, 2009
  • ASEE Best Paper Award, Biological and Agricultural Engineering Division, 2007, 2008
  • ASAE Certificate of Appreciation, Outstanding Service Associate Editor, SE Division (1994 - 2003)
  • University of Nebraska Alumni Teaching Awards: 1990, 1992.
  • University of Nebraska, Engineering College Teacher of the Year, 1999.
  • ASAE Superior Paper Award, 2001.
  • University of Nebraska Teaching Department of the Year - 2002

Selected Publications

CURRENT PROJECTS

JOURNAL ARTICLES

  • Sharma, V., S. Irmak, A. Kilic, V. Sharma, J.E. Gilley, G.E. Meyer, S.Z. Knezevic, and D. Marx, 2016. Quantification and Mapping of Surface Residue Cover for Maize and Soybean Fields in South Central Nebraska. Transactions of the ASABE, 59(3): 925-939.
  • Tai, C., D.S., Voltan, D.R. Keshwani, G.E. Meyer, and P.S. Kuhar. 2016. Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass. Bioprocess Biosystems Engr. (Springer) 39:937–944.
  • Rudnick, D.R.,  V. Sharma, G.E. Meyer, and S. Irmak, 2015. Using Fuzzy Logic to Predict and Evaluate the Magnitude and Distribution of Precipitation on Rainfed Maize and Soybean Yields in Nebraska. Transactions of the ASABE, 58(5):1215-1229
  • Naganathan. G.K., K. Cluff, A. Samal, C.R. Calkins, D.D. Jones, G.E. Meyer, and J. Subbiah,  2015. Three dimensional chemometric analyses of hyperspectral images for beef tenderness forecasting. Journal of Food Engineering 169: 309–320.
  • Kumar, A., Jones, D.D., Meyer, G. E., and Hanna, M.A. (2014). A Fuzzy Inference System (FIS) and Dimensional Analysis for Predicting Energy Consumption and Mean Residence Time in a Twin-Screw Extruder. Journal of Food Process Engineering (doi: 10.1111/jfpe.12137).
  • Kabenge, I., S. Irmak, G. Meyer, J. Gilley, S. Knezevic, T. Arkebauer, M. Moravek, and D. Woodward. 2013. Evapotranspiration and surface energy balance of a common reed-dominated riparian system in the Platte River Basin, Central Nebraska, USA. Transactions of the ASABE, 56(1):135-153.
  • Meyer, G.E., E.T. Paparozzi, E.A. Walter-Shea, E.E. Blankenship, and S.A. Adams, 2012.  An Investigation of Reflective Mulches for Use over Capillary Mat Systems for Winter-time Greenhouse Strawberry Production.  Engineering in Agriculture 28(2):271-279.
  • Irmak, A., P. Ranade, D. Marx, S. Irmak, K.G. Hubbard, G.E. Meyer, and D.L. Martin. 2010. Spatial interpolation of climate variables in Nebraska. Transactions of the ASABE, 53(6):1759-1771.
  • Govindarajan K.N., L. M. Grimes, J. Subbiah C. R. Calkins, A. Samal, and G.E. Meyer. 2008. Partial least squares analysis of near-infrared hyperspectral images for beef tenderness prediction. Sens. and Instrumen. Food Qual. (Springer)
  • Meyer, G.E.  and J. Camargo Neto. 2008. Verification of Color Vegetation Indices for Automated Crop Imaging Applications. Computers and Electronics in Agriculture (Elsevier), 63:282-293.
  • Govindarajan K.N., L.M. Grimes, J. Subbiah, C.R. Calkins, A. Samal, and G.E. Meyer, 2008. Visible/near-infrared hyperspectral imaging for beef tenderness prediction. Computers and Electronics in Agriculture (Elsevier), 64(2):225-233.
  • Sethuramasamyraja, B., V.I. Adamchuk, A. Dobermann, D.B. Marx, D.D. Jones, and G.E. Meyer. 2008. Agitated soil measurement method for integrated on-the-go mapping of soil pH, potassium and nitrate contents. Computers and Electronics in Agriculture (Elsevier), 60:212-225.
  • Sethuramasamyraja, B., V.I. Adamchuk, D.B. Marx, A. Dobermann, G.E. Meyer, and D.D. Jones, 2007. Analysis of an ion-selective electrode based methodology for integrated on-the-go mapping of soil pH, potassium and nitrate contents. Transactions of ASABE, 50(6):1927-1935.
  • Keshwani, D.R., Jones, D.D., Meyer, G.E., and R.M. Brand, 2007. Rule-Based Mamdani-Type Fuzzy Modeling of Skin Permeability. Applied Soft Computing (Elsevier), 8:285-294.
  • Wrobel, B., Bien, Alexander G., Holbrook, E.H., Meyer, G.E., Bratney, N.A., Meza, J. Leopold, D.A., 2006. Decreased nasal mucosal sensitivity in older subjects. American Journal of Rhinology, 20(3):364-368.
  • Camargo  Neto, J.,  G.E. Meyer, and D.D. Jones. 2006. Individual Leaf Extractions from Young Canopy Images using Gustafson-Kessel Clustering and a Genetic Algorithm. Computers and Electronics in Agriculture (Elsevier) 51:65-85.
  • Camargo  Neto, J., G.E. Meyer, D. D. Jones, and A.K. Samal. 2006. Plant Species Identification using Elliptic Fourier Analysis. Computers and Electronics in Agriculture (Elsevier), 50:121-134.
  • Heckman, N., G.E. Meyer, G.L. Horst, and R. Gaussoin. 2004. Direct calorimetric analysis of turf grass sod for storage life assessment. Scientia Horticulturae, 102(4):1-10.
  • Meyer, G.E., T.W. Hindman, D.D. Jones, and D.A. Mortensen. 2004. Digital camera operation and fuzzy logic classification of plant, soil, and residue color images. Engineering in Agriculture, 20(4):519-529.
  • Meyer, G.E., J. Camargo Neto, D.D. Jones, and T.W. Hindman. 2004. Intensified fuzzy clusters for determining plant, soil, and residue regions of interest from color images. Computers and Electronics in Agriculture, 42(3):161-180.
  • Al-Faraj, G.E. Meyer, and G.L. Horst. 2001. A Crop Water Stress Index for Tall Fescue (Festuca arundinacea Schreb.) Irrigation Decision-making - A Traditional Method. Computers and Electronics in Agriculture (Elsevier), 31(2):107-124.
  • Meyer, G.E. 2001. History and progress of optical weed detection and discrimination for spot spraying control. In J.A. DeShazer and G.E. Meyer (Eds.). Optics in Agriculture: 1990 - 2000. A Critical Review. SPIE Optical Engineering Press. Bellington, WA., pp 101 -139.
  • Al-Faraj A., G.E. Meyer, and G.L. Horst. 2001. A Crop Water Stress Index for Tall Fescue (Festuca arundinacea Schreb.) Irrigation Decision-making - A Fuzzy Logic Method, Computers and Electronics in Agriculture (Elsevier), 32(2):69-84
  • Lin, X., K.G. Hubbard, and G.E. Meyer. 2001. Air flow characteristics of commonly used temperature radiation shields. J. Atmos. Oceanic Tech., 18(3):329-339.
  • Lin, X., K.G. Hubbard, E.A. Walter-Shea, J.R. Brandle, and G.E. Meyer. 2001. Some perspectives on recent in-situ air temperature observations: modeling the microclimate inside radiation shields. J. Atmos. Oceanic Tech., 18(9):1470-1484.
  • Al-Faraj, A., G.E. Meyer, G.R. Schade, and G.L. Horst. 2000. Dynamic analysis of moisture stress in tall fescue (Festuca Arundinacea) using canopy temperature, irradiation, and vapor deficit. Trans. of the ASAE, 43(1):101-109.
  • Hindman, T.M. and G E. Meyer. 1999. Fuzzy Logic Detection Parameters for Plant Species Identification. EUFIT ‘99 - Proceedings of the 7th European Congress on Intelligent Techniques and Soft Computing on CD-ROM, Verlag Mainz Publishers, Aachen Germany, 3:1-8.
  • Meyer, G.E., T. Mehta, M.F. Kocher, D.A. Mortensen, and A. Samal. 1998. Textural imaging and discriminate analysis for distinguishing weeds for spot spraying. Trans. of the ASAE, 41(4):1189-1197.
  • Blackmer, T.M., J.E. Scepters, and G.E. Meyer. 1996. Analysis of aerial photography for nitrogen stress within corn fields. Agronomy Journal, 88(5):729-733.

SYMPOSIUM OR WORKSHOP PROCEEDINGS

  • L.-K. Soh, A. Samal, S. Scott, S. Ramsay, E. Moriyama, G. Meyer, B. Moore, W. G. Thomas, and D.F. Shell. 2009. Renaissance Computing: An Initiative for Promoting Student Participation in Computing, Proceedings of the SIGCSE 2009, Chattanooga, Tennessee, March 4-7, pp. 59-63.
  • Meyer G.E. 2008. Instrumentation and controls for agricultural and biological engineering students. Paper no. AC 2008-1490. ASEE Annual Conference Proceedings, Pittsburgh, PA (on CD).
  • Meyer G.E. and D.D. Jones. 2007. Advanced Modeling in Biological Engineering Using Soft-computing Methods. Paper no. 2729. ASEE Annual Conference Proceedings, Honolulu, Hawaii (on CD).
  • Wrobel, B.B., D.A. Leopold, E.H. Holbrook, A. Bien, G.E. Meyer, N.A. Bratney, and J. Meza. 2004. Decreased Nasal Mucosal Sensitivity in Older Subjects. Presented at the Golden Anniversary Meeting of the American Rhinologic Society, New York, NY.
  • Leopold, D.A., B.B. Wrobel, E.H. Holbrook, A. Bien, J. Meza, N.A. Bratney, and G.E. Meyer. 2004. Human Nasal Mucosal Sensitivity Patterns. Paper III, presented at the 20th Congress of the European Rhinologic Society (ERS.) and 23rd International Symposium on Infection and Allergy of the Nose (ISIAN), The Bosphorus Congress and Exhibition Center, Istanbul, Turkey.
  • Meyer, G. E. 2003. Thermodynamics for Living Systems, A Core Course. Session 2108, American Society of Engineering Education, Annual Conference Proceedings, on CD-ROM.
  • Meyer, G.E. and J.A. DeShazer. (Eds.). 2001. Precision Agriculture and Biological Quality II. Optical Engineering Press, Bellingham, WA. (ISBN: 0-8194-3868-5) 4203, 176 pp.
  • Meyer, G.E. 2001. History and Progress of Optical Weed Detection and Discrimination for Spot Spraying Control.
  • Meyer, G.E. and J.A. DeShazer. (Eds.). 1998. Optics in Agriculture- A Critical Review. SPIE– Optical Engineering Press, Bellingham, WA. (ISBN: 0-8194-3884-7) CR80: 101-139
  • Cundiff, J.S., G.E. Meyer, D.D. Schulte, and L.D. Clements. 1999. Thermodynamics for Living Systems. Session 1308, ASEE Annual Conference Proceedings, on CD-ROM.
  • Hindman, T.M. and G E. Meyer. 1999. Fuzzy logic detection parameters for plant species identification. EUFIT '99 - Proc. 7th European Congress on Intelligent Techniques and Soft Computing on CD-ROM, Verlag Mainz Publishers, Aachen Germany, 3:1-8.
  • Meyer, G.E. and J.A. DeShazer. (Eds.). 1998. Precision Agriculture and Biological Quality. SPIE–The International Society for Optical Engineering. (ISBN: 0-8194-3155-9) 3543: 390 pp.
  • Meyer, G.E., T.M. Hindman, and M. Schultze. 1997. Simulation tools for evaluating optical plant sensors for variable-rate application technologies. SPIE - The International Society for Optical Engineering, SPIE Proceedings, 2907:139-150.
  • Meyer, G.E. and J.A. DeShazer (Eds.). 1997. Optics in Agriculture, Forestry, and Biological Processing II. SPIE–The International Society for Optical Engineering. (ISBN: 0-8194--2309-2) 2907: 284 pp.
  • Smith, D., J.B. Fitzgerald, and G.E. Meyer. 1996. Control of insects on ornamental cuttings by vacuum disruption. HortScience, 31(4):676.
  • Merritt, S.J., G.E. Meyer, C. Lesiak, and K. Von Bargen. 1994. Optical plant sensor field of view determination using fourier transforms. Optics in Agriculture and Forestry, SPIE - The International Society for Optical Engineering, SPIE Proceedings, 2345:266-276.
  • Meyer, G.E., J.K. Randall, and C.T. Morrow. 1996. Teaching instrumentation and controls using multimedia and television instructional methods session. ASEE Annual Conference Proceedings, on CD ROM.
  • Al-Faraj, A., G.E. Meyer, and J.B. Fitzgerald. 1994. Evaluation of plant water use and crop temperature of New Guinea Impatiens (Impatiens X HB.) under infrared heating. Hort. Sci., 29(5):442.
  • Bahri, A., G.E. Meyer, K. Von Bargen, and J.B. Fitzgerald. 1994. Spatial statistical measures of crop temperature variability using infrared thermography in radiant heated greenhouses. Optics in Agriculture and Forestry. SPIE - The International Society for Optical Engineering. SPIE Proceedings, 2345:236-246.
  • Blackmer, T.M., J.E. Scepters, and G.E. Meyer. 1994. Remote sensing to detect nitrogen deficiency in corn. In P.C. Robert, R.H. Rust, and W.E. Larson (Eds.). Proc. Site-Specific Management for Agricultural Systems, Second International Conference, pp. 505-512.

BOOKS

  • Meyer, G.E., R. M. Brand, Gary DeBerg. 2003. Flow Measurement. In D.R. Heldman (Ed.). Encyclopedia of Agricultural, Food, and Biological Engineering, Marcel Dekker, Inc., ISBN: 0-8247-4266-4, pp. 337 - 341 (Refereed).
  • Meyer, G.E. and J.A. DeShazer. 1998. Precision agriculture and biological quality. SPIE-The International Society for Optical Engineering. (ISBN: 0-8194-3155-9) 3543:390.
  • Meyer, G.E. and J.A. DeShazer. 1997. Optics in agriculture, forestry, and biological processing II. SPIE-The International Society for Optical Engineering. (ISBN: 0-8194-2309-2) 2907:284.
  • Meyer, G.E. and J.A. DeShazer. 1994. Optics in agriculture, forestry, and biological processing. SPIE-The International Society for Optical Engineering. (ISBN 0-8194-1678-9) 2345:436.

PROFESSIONAL SOCIETY PAPERS

  • Meyer, G.E. and Y. Ge, 2016. Instrumentation and Controls Instruction for Agricultural and Biological Engineering Students. Paper 16110, Proceedings of American Society of Engineering Education Annual Meeting, New Orleans, Louisiana.
  • Meyer, G.E., D. Mabie, F.J. Hay, S. Adams, T. Bartels, and J.B. Fitzgerald,  2009. Improved Instrumentation and Controls for Biomass Heating and Impact on Greenhouse Profitability. ASABE Paper Number 09-096884.  The American Society of Agricultural and Biological Engineering, St. Joseph, MI.
  • Naganathan, G. K., L. Grimes, D.D. Jones, G.E. Meyer, J. Subbiah, C. Calkins, and A. Samal. 2007. Adaptive Neuro-Fuzzy Inference System for Beef Tenderness Prediction. Paper Number : 225-02. presented at Food Smarts, Annual Meeting and Food Expo of the Institute of Food Technologists, Chicago, IL.
  • Schmid, C., R. Gaussoin, G.E. Meyer, R.C. Shearman, and G. DeBerg. 2007. A Rapid and Precise Method to Measure Infiltration in situ. Poster presentation 171-1(656), Turf grass Science. ASA-CSSA-SSSA International Annual Meetings at the Ernest N. Morial Convention Center, New Orleans, LA.
  • Meyer, G.E., D.D. Jones, and J. Camargo Neto, 2007.  Botanical Species Identification using Image Extracted Individual Leaves and Soft Computing.  Institute of Biological Engineering (IBE) Annual Meeting, St. Louis, MO.
  • Camargo-Neto, J., G.E. Meyer, and D.D. Jones,  2004. Advances in Color Image Segmentation of Plants for Weed Control. ASAE Paper Number 043060, The Society for Engineering in Agricultural, Food, and Biological Systems, St. Joseph, MI.
  • Camargo-Neto, J., G.E. Meyer, D.D. Jones, and A.J. Surkan. 2003. Adaptive Image Segmentation using Fuzzy Logic Neural Network and Genetic Algorithm for Weed detection. ASAE Paper Number 033088, The Society for Engineering in Agricultural, Food, and Biological Systems, St. Joseph, MI.
  • Amezquita, A., J. Camargo-Neto, and G.E. Meyer. 2002. Pork Marbling Using Machine Vision. ASAE Paper Number 027006, The Society for Engineering in Agricultural, Food, and Biological Systems, St. Joseph, MI.
  • Al-Faraj, A., G.L. Horst, and G.E. Meyer. 1999. A fuzzy logic crop water stress index (FL-CWSI) for tall fescue turf irrigation decision-making. ASAE Paper No. 993137, St. Joseph, MI.
  • Lin, X, Y. Lan, G.E. Meyer, K.G. Hubbard, and M.F. Kocher. 1998. Development of a high speed PC-based data acquisition and control system. ASAE Paper No. 983121, St Joseph, MI.
  • Meyer, G.E., A. Al-Faraj, G.R. Schade, and G.L. Horst. 1999. Dynamic analysis of canopy temperature of tall fescue to moisture stress and irradiance levels. ASAE Paper No. 994125, St. Joseph, MI.
  • Merritt, S.J., K. Von Bargen, G.E. Meyer, and D.A. Mortensen. 1994. Reflectance sensor and control system for spot spraying. ASAE Paper 941057, Summer Meeting, Kansas City, MO.
  • Power, K.C., G.E. Meyer, and J.B. Fitzgerald. 1994. Utilization of PPCAM (Plant Production Cost Accounting/Management System) as a teaching tool in greenhouse management courses. The American Society for Horticultural Science 91st Annual Meeting, Corvallis, OR.
  • Power, K.C., G.E. Meyer, D.D. Schulte, and J.B. Fitzgerald. 1994. Utilizing computerized greenhouse heating and cooling analysis and design models as teaching aid for greenhouse management courses. American Society for Horticultural Science 91st Annual Meeting, Corvallis, OR.

POPULAR PUBLICATIONS

  • Meyer, G.E., T.G. Franti, and D.A. Mortensen. 1997. Seek and destroy - machine vision identifies weeds for spot spraying. Resource Magazine, Engineering and Technology for a Sustainable World, 4(12):13-14.