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Development of a safety decision-making scenario to measure worker safety in agriculture

Journal of agricultural safety and health, 2014-04, Vol.20 (2), p.91-107

2014

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Measurement of worker perceptions of trust and safety climate in managers and supervisors at commercial grain elevators

Journal of agricultural safety and health, 2013-04, Vol.19 (2), p.125-134

2013

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Management of safety and quality and the relationship with employee decisions in country grain elevators

Journal of agricultural safety and health, 2012-07, Vol.18 (3), p.195-215

2012

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Defining the physical properties of corn grown under drought-stressed conditions and the associated energy and nutrient content for swine

Journal of animal science, 2016-07, Vol.94 (7), p.2843

2016

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Triticale Moisture and Protein Content Prediction by Near-Infrared Spectroscopy (NIRS)

Cereal chemistry, 2007-07, Vol.84 (4), p.328-330

2007

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Application of Quality Management Systems to Grain Handling: An Inventory Management Case Study

Applied engineering in agriculture, 2015, p.313-321

2015

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Influence of Yearly Variability of Agricultural Products on Calibration Process: A Triticale Example

Cereal chemistry, 2007-11, Vol.84 (6), p.576-581

2007

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SINGLE-KERNEL MAIZE ANALYSIS BY NEAR-INFRARED HYPERSPECTRAL IMAGING

Transactions of the ASAE, 2004, Vol.47 (1), p.311-320

2004

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Compositional, Physical, and Wet‐Milling Properties of Accessions Used in Germplasm Enhancement of Maize Project

Cereal chemistry, 2001-05, Vol.78 (3), p.330-335

2001

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Defining the physical properties of corn grown under drought-stressed conditions and the associated energy and nutrient content for swine1

Journal of animal science, 2016-07, Vol.94 (7), p.2843-2850

2016

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Near‐Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties

Soil Science Society of America journal, 2001-03, Vol.65 (2), p.480-490

2001

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Development of a Quality Decision-Making Scenario to Measure How Employees Handle Out-of-Condition Grain

Applied engineering in agriculture, 2013, p.807-814

2013

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INFLUENCE OF SOIL MOISTURE ON NEAR-INFRARED REFLECTANCE SPECTROSCOPIC MEASUREMENT OF SOIL PROPERTIES

Soil science, 2005-04, Vol.170 (4), p.244-255

2005

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Long-term soybean composition patterns and their effect on processing

Journal of the American Oil Chemists' Society, 1994-12, Vol.71 (12), p.1425-1427

Hurburgh, Charles R.

1994

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Heterosis in Compositional, Physical, and Wet‐Milling Properties of Adapted × Exotic Corn Crosses

Cereal chemistry, 2001-05, Vol.78 (3), p.336-341

2001

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IMPLEMENTING A COMPUTER VISION SYSTEM FOR CORN KERNEL DAMAGE EVALUATION

Applied engineering in agriculture, 2001-03, Vol.17 (2)

2001

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Impact of hail damage during early reproductive stages on ear rot and mycotoxin contamination of maize

Phytopathology, 2010-06, Vol.100 (6), p.S109-S109

2010

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Identification and segregation of high-value soybeans at a country elevator

Journal of the American Oil Chemists' Society, 1994-10, Vol.71 (10), p.1073-1078

Hurburgh, C.R. Jr. (Iowa State University, Ames, IA)

1994

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An Engineering Economic Model of Corn Cleaning

Applied engineering in agriculture, 1995, Vol.11 (4), p.539-547

C. R. Hurburgh Jr

1995

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Corn Density Measurement by Near-infrared Transmittance

Transactions of the ASAE, 1995-11, Vol.38 (6), p.1821-1824

1995

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Corn Quality Patterns in U.S. Markets

Applied engineering in agriculture, 1994-01, Vol.10 (4), p.515-521

1994

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Relationships among maize quality factors

Cereal chemistry, 1991-11, Vol.68 (6), p.602-605

1991

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Effect of Seed Size and Density on Near-infrared Transmittance Analysis of Corn and Soybeans

Applied engineering in agriculture, 1995, Vol.11 (5), p.677-684

1995

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Detection of Roundup Ready™ Soybeans by Near-Infrared Spectroscopy

Applied spectroscopy, 2001-10, Vol.55 (10), p.1425-1430

2001

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Estimating the processed value of soybeans

Journal of the American Oil Chemists' Society, 1990-05, Vol.67 (5), p.302-307

1990

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Development of a safety decision-making scenario to measure worker safety in agriculture

Measurement of worker perceptions of trust and safety climate in managers and supervisors at commercial grain elevators

Management of safety and quality and the relationship with employee decisions in country grain elevators

Defining the physical properties of corn grown under drought-stressed conditions and the associated energy and nutrient content for swine

Triticale Moisture and Protein Content Prediction by Near-Infrared Spectroscopy (NIRS)

Application of Quality Management Systems to Grain Handling: An Inventory Management Case Study

Influence of Yearly Variability of Agricultural Products on Calibration Process: A Triticale Example

SINGLE-KERNEL MAIZE ANALYSIS BY NEAR-INFRARED HYPERSPECTRAL IMAGING

Compositional, Physical, and Wet‐Milling Properties of Accessions Used in Germplasm Enhancement of Maize Project

Defining the physical properties of corn grown under drought-stressed conditions and the associated energy and nutrient content for swine1

Near‐Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties

Development of a Quality Decision-Making Scenario to Measure How Employees Handle Out-of-Condition Grain

INFLUENCE OF SOIL MOISTURE ON NEAR-INFRARED REFLECTANCE SPECTROSCOPIC MEASUREMENT OF SOIL PROPERTIES

Long-term soybean composition patterns and their effect on processing

Heterosis in Compositional, Physical, and Wet‐Milling Properties of Adapted × Exotic Corn Crosses

IMPLEMENTING A COMPUTER VISION SYSTEM FOR CORN KERNEL DAMAGE EVALUATION

Impact of hail damage during early reproductive stages on ear rot and mycotoxin contamination of maize

Identification and segregation of high-value soybeans at a country elevator

An Engineering Economic Model of Corn Cleaning

Corn Density Measurement by Near-infrared Transmittance

Corn Quality Patterns in U.S. Markets

Relationships among maize quality factors

Effect of Seed Size and Density on Near-infrared Transmittance Analysis of Corn and Soybeans

Detection of Roundup Ready™ Soybeans by Near-Infrared Spectroscopy

Estimating the processed value of soybeans

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