Daniel E. Guyer

You are here

Daniel Guyer

Dr. Guyer’s professional field spans basic and applied research in: Postharvest handling, grading, value-added process development and processing, and storage of fruits, vegetables, and chestnuts; Development of technology and sensors for nondestructive assessment of quality of specialty crops in the domains of machine vision, spectroscopy, computed tomography, image processing, and pattern recognition; Specialty crop automation.

BS, Agricultural Engineering - Michigan State University, 1982
MS, Agricultural Engineering - Purdue University, 1984. Thesis Title: Computer Vision and Image Processing for Plant Identification
PhD, Agricultural Engineering - Purdue University, 1988. Thesis Title: Application of Machine Vision to Human Shape Analysis Techniques in Leaf and Plant Identification: An Intelligent Vision Structure
  •  ASAE paper award, 1987, for Computer Vision and Image Processing for Plant Identification.
  •  ASAE Educational Aids Competition Blue Ribbon Award, 1994, for Video on Packinghouse operations.
  • USDA-Secretary of Agriculture - Group Honor Award for Excellence – for contributions to CSREES multi-state research group NE-179 related to increasing the efficiency, security, sustainability and profitability of the fruit and vegetable industry through applications of the technologies developed.
  • ASAE – IET Division – IET Select Paper Award, 2003, for “Integrating reflectance and fluorescence imaging for apple disorder classification”.

(selected over career)

  • Donis-Gonzalez1,3, I.R., Jeong, S., Guyer3, D.E., Fulbright, D. 2017. Microbial contamination in peeled chestnut and the efficiency of post-processing treatments for microbial spoilage management. J. Food Processing and Preservation. Vol 42(2). http://dx.doi.org/10.1111/jfpp.12874
  • Donis-Gonzalez1,3, I.R., Guyer3, D.E., Pease, A. 2016. Postharvest non-invasive assessment of undesirable fibrous tissue in fresh processing carrots using computer tomography images.  Journal of Food Engineering. Vol 190(154-166) http://dx.doi.org/10.1016/j.jfoodeng.2016.06.024compag.2016.06.018
  • Rady, A.M., Guyer, D.E. 2015. Utilization of Visible/Near-Infrared Spectroscopic and Wavelength Selection Methods in Sugar Prediction and Potatoes Classification. Journal of Food Measurement and Characterization. Vol 9:Issue1:20-34
  • Donis-González, I.R., Guyer, D.E., Pease, A., Fulbright, D.W., and Barthel, F. 2014. Internal characteristics visualization of fresh agricultural products using traditional and ultrafast electron bean X-ray Computed Tomorgaphy (CT) imaging. Biosystems Engineering, Special issue: Image analysis in agriculture, 117: 104-113.
  • Donis-González, I.R., Guyer, D.E., Fulbright, D. W., and Pease, A. 2014. Postharvest noninvasive assessment of fresh chestnut (Castanea spp.) internal decay using computer tomography images. Postharvest Biology and Technology. 94: 14-25.
  • Rady, A.M., Guyer, D.E., Kirk, W., Donis-Gonzalez, I.R. 2014. The potential use of visible/near infrared spectroscopy and hyperspectral imaging to predict processing-related constituents of potato tubers. Journal of Food Engineering. 135: 11-25.
  • DeKleine M. and Guyer, D.E.  2013. Design, development, and evaluation of a single-stage combined chestnut harvesting and material separation concept.  American Society of Agricultural and Biological Engineers (ASABE) 29(6): 823-829.
  • Wen, C., Guyer, D.E., 2012. Image-based orchard insect automated identification and classification method.  Computers and Electronics in Agriculture. 89:110-115.
  • Donis-Gonzalez, I.R., Guyer, D.E., Pease A., and Fulbright, D.W. 2012. Relation of computerized tomography Hounsfield unit measurements and internal components of fresh chestnuts (Castanea spp.). Postharvest Biology and Technology 64: 74-82.
  • Juan Xing, Daniel Guyer. 2008. Comparison of transmittance and reflectance to detect insect infestation in Montmorency tart cherry. Computers and Electronics in Agriculture. Vol. 64(2). p 194-201.
  • Ariana, D.P., Guyer, D.E., Shrestha, B.P.  2006.  Integrating  multispectral reflectance and fluorescence imaging for defect detection on apples.  Computers and Electronics in Agriculture. Vol 50(2) p148-161.
  • Gorostiaga-Martino, K. and D.E. Guyer.  2004.  Supercritical fluid extraction of quercetin from onion skins.  J. of Food Process Engineering.  Vol 27. p 17-28.
  • Kavdir, I. and D.E. Guyer. 2002. Apple sorting using artificial neural networks and spectral imaging.  Transactions of ASAE. Vol. 45(6) p 1995-2005.
  • Guyer, D.E. and X. Yang. 2000. Use of genetic neural networks and spectral imaging for defect detection on cherries. Computers and Electronics in Agriculture. Vol. 29 pp 179-194.
  • Timm, E.J. and D.E. Guyer. 1998. Tart cherry firmness and quality changes during mechanical harvesting and handling. Applied Eng. in Agric., Vol. 14(2), pp. 153-158.
  • Guyer, D.E., G.E. Miles, M.M. Schreiber, O.R. Mitchell, V.C. Vanderbilt. 1986. Machine Vision and Image Processing for Plant Identification. Trans. of the ASAE. Vol 29(6); 1500-1507.