Year |
Citation |
Score |
2017 |
Igne B, Alam MA, Bu D, Dardenne P, Feng H, Gahkani A, Hopkins DW, Mohan S, Hurburgh CR, Brenner C. Summary of the 2016 IDRC software shoot-out Nir News. 28: 16-22. DOI: 10.1177/0960336017706881 |
0.612 |
|
2016 |
Newman MA, Hurburgh CR, Patience JF. 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. PMID 27482671 DOI: 10.2527/Jas.2015-0158 |
0.333 |
|
2016 |
Mitchell NJ, Bowers E, Hurburgh C, Wu F. Potential economic losses to the USA corn industry from aflatoxin contamination. Food Additives & Contaminants. Part a, Chemistry, Analysis, Control, Exposure & Risk Assessment. PMID 26807606 DOI: 10.1080/19440049.2016.1138545 |
0.304 |
|
2016 |
Vernieres C, Hurburgh CR, Rippke G, Hardy CL. Near Infrared Spectroscopy (NIRS) Calibrations for Moisture in High Moisture Corn Co-Products Animal Industry Report. 662: 22. DOI: 10.31274/Ans_Air-180814-587 |
0.315 |
|
2015 |
Laux CM, Mosher GA, Hurburgh CR. Application of quality management systems to grain handling: An inventory management case study Applied Engineering in Agriculture. 31: 313-321. DOI: 10.13031/Aea.31.10860 |
0.733 |
|
2014 |
Esteve Agelet L, Hurburgh CR. Limitations and current applications of Near Infrared Spectroscopy for single seed analysis. Talanta. 121: 288-99. PMID 24607140 DOI: 10.1016/J.Talanta.2013.12.038 |
0.754 |
|
2014 |
Biller C, Hurburgh C, Cao N, Rippke G. Calibration of the JDSU MicroNir 1700 for Agricultural Product Analysis Nir News. 25: 16-18. DOI: 10.1255/Nirn.1471 |
0.555 |
|
2014 |
Medic J, Atkinson C, Hurburgh CR. Current knowledge in soybean composition Jaocs, Journal of the American Oil Chemists' Society. 91: 363-384. DOI: 10.1007/S11746-013-2407-9 |
0.341 |
|
2013 |
Esteve Agelet L, Armstrong PR, Tallada JG, Hurburgh CR. Differences between conventional and glyphosate tolerant soybeans and moisture effect in their discrimination by near infrared spectroscopy. Food Chemistry. 141: 1895-901. PMID 23870907 DOI: 10.1016/J.Foodchem.2013.04.087 |
0.74 |
|
2012 |
Esteve Agelet L, Gowen AA, Hurburgh CR, O'Donell CP. Feasibility of conventional and Roundup Ready® soybeans discrimination by different near infrared reflectance technologies. Food Chemistry. 134: 1165-72. PMID 23107744 DOI: 10.1016/J.Foodchem.2012.02.144 |
0.758 |
|
2012 |
Esteve Agelet L, Armstrong PR, Romagosa Clariana I, Hurburgh CR. Measurement of single soybean seed attributes by near-infrared technologies. A comparative study. Journal of Agricultural and Food Chemistry. 60: 8314-22. PMID 22831652 DOI: 10.1021/Jf3012807 |
0.762 |
|
2012 |
Esteve Agelet L, Ellis DD, Duvick S, Goggi AS, Hurburgh CR, Gardner CA. Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels Journal of Cereal Science. 55: 160-165. DOI: 10.1016/J.Jcs.2011.11.002 |
0.752 |
|
2011 |
Robertson AE, Munkvold GP, Hurburgh CR, Ensley S. Effects of natural hail damage on ear rots, mycotoxins, and grain quality characteristics of corn Agronomy Journal. 103: 193-199. DOI: 10.2134/Agronj2010.0276 |
0.337 |
|
2011 |
Roussel SA, Igne B, Funk DB, Hurburgh CR. Noise robustness comparison for near infrared prediction models Journal of Near Infrared Spectroscopy. 19: 23-36. DOI: 10.1255/Jnirs.916 |
0.665 |
|
2010 |
Igne B, Reeves JB, McCarty G, Hively WD, Lundc E, Hurburgh CR. Evaluation of spectral pretreatments, partial least squares, least squares support vector machines and locally weighted regression for quantitative spectroscopic analysis of soils Journal of Near Infrared Spectroscopy. 18: 167-176. DOI: 10.1255/Jnirs.883 |
0.699 |
|
2010 |
Igne B, Hurburgh CR. Using the frequency components of near infrared spectra: Optimising calibration and standardisation processes Journal of Near Infrared Spectroscopy. 18: 39-47. DOI: 10.1255/Jnirs.865 |
0.7 |
|
2010 |
Agelet LE, Hurburgh CR. A tutorial on near infrared spectroscopy and its calibration Critical Reviews in Analytical Chemistry. 40: 246-260. DOI: 10.1080/10408347.2010.515468 |
0.318 |
|
2010 |
Igne B, Hurburgh CR. Local chemometrics for samples and variables: Optimizing calibration and standardization processes Journal of Chemometrics. 24: 75-86. DOI: 10.1002/Cem.1274 |
0.701 |
|
2010 |
Laux CM, Hurburgh CR. Using quality management systems for food traceability Journal of Industrial Technology. 26: 1-10. |
0.716 |
|
2009 |
Igne B, Roger JM, Roussel S, Bellon-Maurel V, Hurburgh CR. Improving the transfer of near infrared prediction models by orthogonal methods Chemometrics and Intelligent Laboratory Systems. 99: 57-65. DOI: 10.1016/J.Chemolab.2009.07.007 |
0.688 |
|
2008 |
Igne B, Hurburgh CR. Standardisation of near infrared spectrometers: Evaluation of some common techniques for intra- And inter-brand calibration transfer Journal of Near Infrared Spectroscopy. 16: 539-550. DOI: 10.1255/Jnirs.819 |
0.702 |
|
2008 |
Igne B, Rippke GR, Hurburgh CR. Measurement of whole soybean fatty acids by near infrared spectroscopy Jaocs, Journal of the American Oil Chemists' Society. 85: 1105-1113. DOI: 10.1007/S11746-008-1311-1 |
0.697 |
|
2007 |
Lee KM, Herrman TJ, Rooney L, Jackson DS, Lingenfelser J, Rausch KD, McKinney J, Iiams C, Byrum L, Hurburgh CR, Johnson LA, Fox SR. Corroborative study on maize quality, dry-milling and wet-milling properties of selected maize hybrids. Journal of Agricultural and Food Chemistry. 55: 10751-63. PMID 18020414 DOI: 10.1021/Jf071863F |
0.327 |
|
2007 |
Kovalenko IV, Rippke GR, Hurburgh CR. Dimensionality reduction of near infrared spectral data using global and local implementations of principal component analysis for neural network calibrations Journal of Near Infrared Spectroscopy. 15: 21-28. DOI: 10.1255/Jnirs.711 |
0.651 |
|
2007 |
Igne B, Gibson LR, Rippke GR, Hurburgh CR. Influence of yearly variability of agricultural products on calibration process: A triticale example Cereal Chemistry. 84: 576-581. DOI: 10.1094/Cchem-84-6-0576 |
0.696 |
|
2007 |
Igne B, Gibson LR, Rippke GR, Schwarte A, Hurburgh CR. Triticale moisture and protein content prediction by near-infrared spectroscopy (NIRS) Cereal Chemistry. 84: 328-330. DOI: 10.1094/Cchem-84-4-0328 |
0.681 |
|
2007 |
Thakur M, Hurburgh CR. Quality of US soybean meal compared to the quality of soybean meal from other origins Jaocs, Journal of the American Oil Chemists' Society. 84: 835-843. DOI: 10.1007/S11746-007-1107-8 |
0.324 |
|
2007 |
Gerde JA, Hardy CL, Hurburgh CR, White PJ. Rapid determination of degradation in frying oils with near-infrared spectroscopy Jaocs, Journal of the American Oil Chemists' Society. 84: 519-522. DOI: 10.1007/S11746-007-1068-Y |
0.365 |
|
2007 |
Hurburgh CR. Measurement of fatty acids in whole soybeans with near infrared spectroscopy Lipid Technology. 19: 88-90. DOI: 10.1002/Lite.200600029 |
0.359 |
|
2006 |
Kovalenko IV, Rippke GR, Hurburgh CR. Determination of amino acid composition of soybeans (Glycine max) by near-infrared spectroscopy. Journal of Agricultural and Food Chemistry. 54: 3485-91. PMID 19127714 DOI: 10.1021/Jf052570U |
0.641 |
|
2006 |
Kovalenko IV, Rippke GR, Hurburgh CR. Measurement of soybean fatty acids by near-infrared spectroscopy; linear and nonlinear calibration methods Jaocs, Journal of the American Oil Chemists' Society. 83: 421-427. DOI: 10.1007/S11746-006-1221-Z |
0.672 |
|
2004 |
Cogdill RP, Hurburgh CR, Rippke GR. Single-kernel maize analysis by near-infrared hyperspectral imaging Transactions of the American Society of Agricultural Engineers. 47: 311-320. DOI: 10.13031/2013.15856 |
0.434 |
|
2001 |
Steenhoek LW, Misra MK, Hurburgh CR, Bern CJ. Implementing a Computer Vision System for Corn Kernel Damage Evaluation Applied Engineering in Agriculture. 17: 235-240. DOI: 10.13031/2013.5448 |
0.325 |
|
2001 |
Siska JJ, Hurburgh CR. The standardisation of near infrared instruments using master selection and Wiener filter methods Journal of Near Infrared Spectroscopy. 9: 107-116. DOI: 10.1255/Jnirs.297 |
0.326 |
|
1996 |
Hurburgh CR. Technical Notes: U.S. Soybean Quality Related to Costs and Benefits of Soybean Cleaning Applied Engineering in Agriculture. 12: 379-382. DOI: 10.13031/2013.25662 |
0.318 |
|
1994 |
Hurburgh CR. Corn quality patterns in U.S. markets Applied Engineering in Agriculture. 10: 515-521. DOI: 10.13031/2013.25881 |
0.306 |
|
1994 |
Hurburgh CR. Identification and segregation of high-value soybeans at a country elevator Journal of the American Oil Chemists' Society. 71: 1073-1078. DOI: 10.1007/Bf02675899 |
0.34 |
|
1994 |
Hurburgh CR. Long-term soybean composition patterns and their effect on processing Journal of the American Oil Chemists' Society. 71: 1425-1427. DOI: 10.1007/Bf02541367 |
0.327 |
|
1991 |
Al-Yahya SA, Bern CJ, Hurburgh CR. Aspirator separation of corn-fines mixtures Transactions of the American Society of Agricultural Engineers. 34: 944-949. DOI: 10.13031/2013.31753 |
0.302 |
|
1991 |
Hartwig RA, Hurburgh CR. Interlaboratory comparison of soybean protein and oil determinations Journal of the American Oil Chemists Society. 68: 949-955. DOI: 10.1007/Bf02657542 |
0.347 |
|
1990 |
Hurburgh CR, Brumm TJ. Protein and Oil Content of Soybeans Received at Country Elevators Applied Engineering in Agriculture. 6: 65-68. DOI: 10.13031/2013.26346 |
0.333 |
|
1990 |
Hartwig RA, Hurburgh CR. Near-infrared reflectance measurement of moisture, protein and oil content of ground crambe seed Journal of the American Oil Chemists' Society. 67: 435-437. DOI: 10.1007/Bf02638956 |
0.384 |
|
1990 |
Hurburgh CR, Brumm TJ, Guinn JM, Hartwig RA. Protein and oil patterns in U.S. and world soybean markets Journal of the American Oil Chemists' Society. 67: 966-973. DOI: 10.1007/Bf02541859 |
0.314 |
|
1990 |
Brumm TJ, Hurburgh CR, Johnson LA. Cracking and dehulling shriveled and wrinkled soybeans Journal of the American Oil Chemists' Society. 67: 750-756. DOI: 10.1007/Bf02540485 |
0.306 |
|
1990 |
Brumm TJ, Hurburgh CR. Estimating the processed value of soybeans Journal of the American Oil Chemists' Society. 67: 302-307. DOI: 10.1007/Bf02539680 |
0.346 |
|
1989 |
Hartwig RA, Hurburgh CR. A justification for using a whole-grain oven method to determine soybean moisture content Journal of the American Oil Chemists Society. 66: 1635-1636. DOI: 10.1007/Bf02636193 |
0.333 |
|
1987 |
Hurburgh CR. Moisture Meter Performance II. Soybeans Transactions of the Asabe. 30: 582-584. DOI: 10.13031/2013.31992 |
0.329 |
|
1987 |
Hurburgh CR. A Probe Sampling Method for Country Elevators Applied Engineering in Agriculture. 31: 90-94. DOI: 10.13031/2013.26652 |
0.316 |
|
1986 |
Hurburgh CR, Paynter LN, Schmitt SG, Bern CJ. Performance of Farm-Type Moisture Meters Transactions of the Asabe. 29: 1118-1123. DOI: 10.13031/2013.30280 |
0.366 |
|
1985 |
Hurburgh CR, Hazen TE, Bern CJ. CORN MOISTURE MEASUREMENT ACCURACY. Transactions of the American Society of Agricultural Engineers. 28: 634-640. DOI: 10.13031/2013.32311 |
0.371 |
|
1983 |
Hurburgh CR, Bern CJ. Sampling Corn and Soybeans I. Probing Methods Transactions of the Asabe. 26: 930-934. DOI: 10.13031/2013.34050 |
0.323 |
|
1983 |
Hurburgh CR, Hazen TE. PERFORMANCE OF ELECTRONIC MOISTURE METERS IN CORN. Drying Technology. 2: 149-156. DOI: 10.1080/07373938308959816 |
0.376 |
|
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