Charles R. Hurburgh

Affiliations: 
Agricultural and Biosystems Engineering Iowa State University, Ames, IA, United States 
Area:
Agricultural Engineering
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"Charles Hurburgh"

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Robert Dzupin grad student 2005 Iowa State
Igor V. Kovalenko grad student 2005 Iowa State
Chad M. Laux grad student 2007 Iowa State
Benoit Igne grad student 2009 Iowa State
Lidia Esteve Agelet grad student 2011 Iowa State
Nanning Cao grad student 2013 Iowa State
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Publications

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Igne B, Alam MA, Bu D, et al. (2017) Summary of the 2016 IDRC software shoot-out Nir News. 28: 16-22
Newman MA, Hurburgh CR, Patience JF. (2016) Defining the physical properties of corn grown under drought-stressed conditions and the associated energy and nutrient content for swine. Journal of Animal Science. 94: 2843-50
Mitchell NJ, Bowers E, Hurburgh C, et al. (2016) Potential economic losses to the USA corn industry from aflatoxin contamination. Food Additives & Contaminants. Part a, Chemistry, Analysis, Control, Exposure & Risk Assessment
Vernieres C, Hurburgh CR, Rippke G, et al. (2016) Near Infrared Spectroscopy (NIRS) Calibrations for Moisture in High Moisture Corn Co-Products Animal Industry Report. 662: 22
Laux CM, Mosher GA, Hurburgh CR. (2015) Application of quality management systems to grain handling: An inventory management case study Applied Engineering in Agriculture. 31: 313-321
Esteve Agelet L, Hurburgh CR. (2014) Limitations and current applications of Near Infrared Spectroscopy for single seed analysis. Talanta. 121: 288-99
Biller C, Hurburgh C, Cao N, et al. (2014) Calibration of the JDSU MicroNir 1700 for Agricultural Product Analysis Nir News. 25: 16-18
Medic J, Atkinson C, Hurburgh CR. (2014) Current knowledge in soybean composition Jaocs, Journal of the American Oil Chemists' Society. 91: 363-384
Esteve Agelet L, Armstrong PR, Tallada JG, et al. (2013) Differences between conventional and glyphosate tolerant soybeans and moisture effect in their discrimination by near infrared spectroscopy. Food Chemistry. 141: 1895-901
Esteve Agelet L, Gowen AA, Hurburgh CR, et al. (2012) Feasibility of conventional and Roundup Ready® soybeans discrimination by different near infrared reflectance technologies. Food Chemistry. 134: 1165-72
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