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United States Department of Agriculture

Agricultural Research Service

Paul R Armstrong
Stored Product Insect and Engineering Research
Research Agricultural Engineer

Phone: (785) 776-2728
Fax: (785) 537-5550
Room 217
ENGINEERING & WIND EROSION RESEARCH UNIT
CGAHR
1515 COLLEGE AVENUE
MANHATTAN, KS, 66502

Projects
PRESERVATION, ENHANCEMENT, AND MEASUREMENT OF GRAIN QUALITY AND MARKETABILITY
Appropriated (D)
  Accession Number: 420587
EVALUATION OF LOW-TEMPERATURE DRYING AND AERATION MONITORING AND CONTROL SYSTEM
Nonfunded Cooperative Agreement (N)
  Accession Number: 421051
EVALUATION OF GRAIN MONITORING CABLES DURING LOW-TEMPERATURE DRYING
Nonfunded Cooperative Agreement (N)
  Accession Number: 420575
Alliance for Food Security through Reduction of Postharvest Loss and Food Waste
Reimbursable (R)
  Accession Number: 426157

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Single kernel ionomic profiles are highly heritable indicators of genetic and environmental influences on elemental accumulation in maize grain (Zea mays) - (Peer Reviewed Journal) - (27-Dec-13)
Analysis of maize (Zea mays) kernel density and volume using micro-computed tomography and single-kernel near infrared spectroscopy Reprint Icon - (Peer Reviewed Journal)
Gustin, J.L., Jackson, S., Williams, C., Patel, A., Armstrong, P.R., Peter, G.F., Settles, M.A. 2013. Analysis of maize (Zea mays) kernel density and volume using micro-computed tomography and single-kernel near infrared spectroscopy. Journal of Agricultural and Food Chemistry. 61:10872-10880.
Development and evaluation of a near-infrared instrument for single-seed compositional measurement of wheat kernels Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R. 2014. Development and evaluation of a near-infrared instrument for single-seed compositional measurement of wheat kernels. Cereal Chemistry. 91(1):23-28.
Ruggedness of 2D code printed on grain tracers for implementing a prospective grain traceability system to the bulk grain delivery system Reprint Icon - (Peer Reviewed Journal)
Liang, K., Thomasson, J.A., Shen, M., Armstrong, P.R., Ge, Y., Lee, K.M., Herrman, T.J. 2013. Ruggedness of 2D code printed on grain tracers for grain traceability system. Food Control. 33:359-365.
Ionomic screening of field-grown soybeans identifies mutants with altered seed elemental composition Reprint Icon - (Peer Reviewed Journal)
Ziegler, G., Terauchi, A.M., Becker, A., Armstrong, P.R., Hudson, K.A., Baxter, I.R. 2012. Ionomic screening of field-grown soybeans identifies mutants with altered seed elemental composition. The Plant Genome. 6(2):1-9.
Measurement of single soybean seed attributes by near infrared technologies. A comparative study Reprint Icon - (Peer Reviewed Journal)
Agelet, L.E., Armstrong, P.R., Clariana, I.R., Hurburgh, C.R. 2012. Measurement of single soybean seed attributes by near infrared technologies. A comparative study. Journal of Agricultural and Food Chemistry. 60(34):8314-8322. DOI: 10.1021/jf3012807.
Prediction of kernel density of corn using single-kernel near infrared spectroscopy Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R., Tallada, J.G. 2012. Prediction of kernel density of corn using single-kernel near infrared spectroscopy. Applied Engineering in Agriculture. 28(4):569-574.
Development of equilibrium moisture relationships for storage moisture monitoring of corn Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R., Casada, M.E., Lawrence, J. 2012. Development of equilibrium moisture relationships for storage moisture monitoring of corn. Applied Engineering in Agriculture. 28(5):677-683.
Development of Single-Seed Near-Infrared Spectroscopic Predictions of Corn and Soybeans Constituents Using Bulk Teference Values and Mean Spectra Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R., Tallada, J.G., Hurburgh, C., Hildebrand, D.F., Specht, J.E. 2011. Development of Single-Seed Near-Infrared Spectroscopic Predictions of Corn and Soybeans Constituents Using Bulk Teference Values and Mean Spectra. Transactions of the ASABE. 54(4):1529-1535.
Detection of fungus-infected corn kernels using near-infrared reflectance spectroscopy and color imaging Reprint Icon - (Peer Reviewed Journal)
Tallada, J.G., Wicklow, D.T., Pearson, T.C., Armstrong, P.R. 2011. Detection of fungus-infected corn kernels using near-infrared reflectance spectroscopy and color imaging. Transactions of the ASABE. 54(3): 1151-1158.
Application of binomial and multinomial probability statistics to the sampling design process of a global grain tracing and recall system Reprint Icon - (Peer Reviewed Journal)
Lee, K., Armstrong, P.R., Thomasson, A., Sui, R., Casada, M., Herrman, T.J. 2011. Application of binomial and multinomial probability statistics to the sampling design process of a global grain tracing and recall system. Food Control. 22(7):1085-1094.
Prediction of maize seed attributes using a rapid single kernel near infrared instrument Reprint Icon - (Peer Reviewed Journal)
Tallada, J.G., Palacios-Rojas, N., Armstrong, P.R. 2009. Prediction of maize seed attributes using a rapid single kernel near infrared instrument. Journal of Cereal Science. 50(3):381-387.
Wheat moisture measurement with a fringing field capacitive sensor Reprint Icon - (Peer Reviewed Journal)
Casada, M., Armstrong, P.R. 2009. Wheat moisture measurement with a fringing field capacitive sensor. Transactions of the ASABE. 52(5):1785-1791
High-Throughput Near-Infrared Reflectance Spectroscopy for Predicting Quantitative and Qualitative Composition Phenotypes of Individual Maize Kernels Reprint Icon - (Peer Reviewed Journal)
Spielbauer, G., Armstrong, P.R., Baier, J., Allen, W.B., Richardson, K., Shen, B., Settles, M. 2009. High-Throughput Near-Infrared Reflectance Spectroscopy for Predicting Quantitative and Qualitative Composition Phenotypes of Individual Maize Kernels. Cereal Chemistry. 86(5):556-564.
Simultaneous monitoring of stored grain with relative humidity, temperature, and carbon dioxide sensors Reprint Icon - (Peer Reviewed Journal)
Gonzales, H., Armstrong, P.R., Maghirang, R.G. 2009. Simultaneous Monitoring of Stored Grain With Relative Humidity, Temperature, and Carbon Dioxide Sensors. Applied Engineering in Agriculture. 25(4):595-604.
The Effect of Moisture Content on Determining Corn Hardness from Grinding Time and Grinding Energy, and Hardness Prediction Using Near-Infrared Spectroscopy Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R., Lingenfelser, J., Mckinney, L. 2007. The Effect of Moisture Content on Determining Corn Hardness from Grinding Time and Grinding Energy, and Hardness Prediction Using Near-Infrared Spectroscopy. Applied Engineering in Agriculture. Vol. 23(6):793-799.
Design and Testing of an Instrument to Measure Equilibrium Moisture Content of Grain Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R., Weiting, M. 2008. Design and Testing of an Instrument to Measure Equilibrium Moisture Content of Grain. Applied Engineering in Agriculture. 24(5):617-624.
Rapid Single-Kernel Nir Measurement of Grain and Oil-Seed Attributes Reprint Icon - (Peer Reviewed Journal)
Armstrong, P.R. 2006. Rapid single-kernel nir measurement of grain and oil-seed attributes. Applied Engineering in Agriculture. Vol. 22(5):767-772.
Comparison of Dispersive and Fourier-Transform NIR Instruments for Measuring Grain and Flour Attributes. - (Peer Reviewed Journal)
Armstrong, P.R., Maghirang, E.B., Xie, F., Dowell, F.E. 2006. Comparison of Dispersive and Fourier-Transform NIR Instruments for Measuring Grain and Flour Attributes.. Applied Engineering in Agriculture. 22(3): 453-457.
Prediction of Equilibrium Moisture Behavior for Different Wheat Varieties and Classes - (Peer Reviewed Journal) - (01-Jan-06)
Accuracy of Grain Moisture Content Prediction Using Temperature and Relative Humidity Sensors - (Peer Reviewed Journal)
Armstrong, P.R., Uddin, S., Zhang, N. 2006. Accuracy of grain moisture content prediction using temperature and relative humidity sensors. Applied Engineering in Agriculture. 22(2): 267-273.
High Throughput Grain Quality Analysis - (Abstract Only)
Dowell, F.E., Pearson, T.C., Armstrong, P.R. 2004. High throughput grain quality analysis. Meeting Abstract.
ARS News Articles
Last Modified: 12/18/2014