Research Project: Advancing Technologies for Grain Trait Measurement and Storage Preservation

Location: Stored Product Insect and Engineering Research

Publications (Clicking on the reprint icon will take you to the publication reprint.)

Combination insecticide treatments with methoprene and pyrethrin for control of khapra beetle larvae on different commodities - (Peer Reviewed Journal)
Scheff, D.S., Arthur, F., Domingue, M., Myers, S. 2024. Combination insecticide treatments with methoprene and pyrethrin for control of khapra beetle larvae on different commodities. Insects. 15(1). Article 77. https://doi.org/10.3390/insects15010077.

Potential of flatbed scanner for evaluation of flour samples for dark specks and flour color - (Peer Reviewed Journal)

Aerosolize insecticide spray distributions and relationships to storage insect efficacies - (Peer Reviewed Journal)
Brabec, D.L., Lanka, S., Campbell, J.F., Arthur, F., Scheff, D.S., Zhu, K. 2023. Aerosolize insecticide spray distributions and relationships to storage insect efficacies. Insects. 14(12. Article 914. https://doi.org/10.3390/insects14120914.

Quantification of methoprene aerosol deposition using reversed-phase high-performance liquid chromatography - (Peer Reviewed Journal)
Norton, A.E., Brabec, D.L., Tilley, M., Yeater, K.M., Scheff, D.S. 2022. Quantification of methoprene aerosol deposition using reversed-phase high-performance liquid chromatography. Journal of Stored Products Research. https://doi.org/10.1016/j.jspr.2022.102039.

Real-time stored product insect detection and identification using deep learning: System integration and extensibility to mobile platforms - (Peer Reviewed Journal)
Badgujar, C., Armstrong, P.R., Gerken, A.R., Pordesimo, L.O., Campbell, J.F. 2023. Real-time stored product insect detection and identification using deep learning: System integration and extensibility to mobile platforms. Journal of Stored Products Research. 104. Article 102196. https://doi.org/10.1016/j.jspr.2023.102196.

Dry fractionation process operations in the production of protein concentrates: A review - (Peer Reviewed Journal)

Identifying common stored product insects using automated deep learning methods - (Peer Reviewed Journal)
Badgujar, C., Armstrong, P.R., Gerken, A.R., Pordesimo, L.O., Campbell, J.F. 2023. Identifying common stored product insects using automated deep learning methods. Journal of Stored Products Research. 103. Article 102166. https://doi.org/10.1016/j.jspr.2023.102166.

Enhancing grain facility management with AI-based insect detection and identification system - (Proceedings)
Mendoza, Q.A., Pordesimo, L.O., Nielsen, M.L. 2023. Enhancing grain facility management with AI-based insect detection and identification system. Proceedings of SPIE. 12545. Article 1254501. https://doi.org/10.1117/12.2672253.

Hammer milling switchgrass from weathered bales - (Peer Reviewed Journal)
Pordesimo, L., Igathinathane, C., Holt, G. 2023. Hammer milling switchgrass from weathered bales. Industrial Crops and Products. 197. Article 116647. https://doi.org/10.1016/j.indcrop.2023.116647.

Application of machine learning for insect monitoring in grain facilities - (Peer Reviewed Journal)
Mendoza, Q.A., Pordesimo, L.O., Nielsen, M.L., Armstrong, P.R., Campbell, J.F. 2023. Application of machine learning for insect monitoring in grain facilities. Artificial Intelligence. 4:348-360. https://doi.org/10.3390/ai4010017.

Crop seed phenomics: Enabling nondestructive phenotyping approaches for characterization of functional and quality traits - (Peer Reviewed Journal)
Hacisalihoglu, G., Armstrong, P.R. 2023. Crop seed phenomics: Enabling nondestructive phenotyping approaches for characterization of functional and quality traits. Plants. 12(5):1177. https://doi.org/10.3390/plants12051177.

Prediction of sorghum oil and kernel weight using near-infrared hyperspectral imaging - (Peer Reviewed Journal)
Mendoza, P.D., Armstrong, P.R., Peiris, K.H., Siliveru, K., Bean, S.R., Pordesimo, L.O. 2023. Prediction of sorghum oil and kernel weight using near-infrared hyperspectral imaging. Cereal Chemistry. 100(3):775-783. https://doi.org/10.1002/cche.10656.

Evaluation of particle models of corn kernels for discrete element method simulation of shelled corn mass flow - (Peer Reviewed Journal)
Boac, J., Casada, M.E., Pordesimo, L.O., Petingco, M., Maghirang, R., Harner III, J. 2023. Evaluation of particle models of corn kernels for discrete element method simulation of shelled corn mass flow. Smart Agricultural Technology. 4. Article 100197. https://doi.org/10.1016/j.atech.2023.100197.

On farm storage of grain crops - (Peer Reviewed Journal)
Pordesimo, L.O., Casada, M.E., McNeill, S.G. 2023. On farm storage of grain crops. Smart Agricultural Technology. 17:1-13. https://doi.org/10.1007/978-3-030-89123-7_122-1.

Compositional analysis in sorghum (Sorghum bicolor) NIR spectral techniques based on mean spectra from single seeds - (Peer Reviewed Journal)
Gokhan, H., Armstrong, P.R., Mendoza, P.D., Seabourn, B.W. 2022. Compositional analysis in sorghum (Sorghum bicolor) NIR spectral techniques based on mean spectra from single seeds. Frontiers in Plant Science. 13:995328. https://doi.org/10.3389/fpls.2022.995328.

Compositional analysis in sorghum (Sorghum bicolor) NIR spectral techniques based on mean spectra from single seeds - (Other)

Potential of dimensional measurements of individual pellets for evaluating feed pellet quality - (Peer Reviewed Journal)
Pordesimo, L.O., Igathinathane, C., Bevans, B.D., Holzgraefe, D.P. 2023. Potential of dimensional measurements of individual pellets for evaluating feed pellet quality. Applied Engineering in Agriculture. 38(5):777-785. https://doi.org/10.13031/aea.14845.

Predicting single kernel and bulk milled rice alkali spreading value and gelatinization temperature class using nir spectroscopy - (Peer Reviewed Journal)
Armstrong, P.R., Maghirang, E.B., Chen, M., McClung, A.M., Yaptenco, K.F., Brabec, D.L., Wu, T., Wei, Y. 2022. Predicting single kernel and bulk milled rice alkali spreading value and gelatinization temperature class using nir spectroscopy. Cereal Chemistry. 99(6):1234-1245. https://doi.org/10.1002/cche.10587.

Estimating chalkiness in endosperm of typical and bleached durum kernels from transmission scanned images - (Peer Reviewed Journal)
Brabec, D.L., Pordesimo, L.O. 2022. Estimating chalkiness in endosperm of typical and bleached durum kernels from transmission scanned images. Applied Engineering in Agriculture. 38(4):651-658. https://doi.org/10.13031/aea.15023.

Fumigation monitoring and modeling of hopper-bottom railcars loaded with corn grits - (Peer Reviewed Journal)
Brabec, D.L., Kaloudis, E., Athanassiou, C., Campbell, J.F., Agrafioti, P., Scheff, D.S., Bantas, S., Sotiroudas, V. 2022. Fumigation monitoring and modeling of hopper-bottom railcars loaded with corn grits. Journal of Biosystems Engineering. 47:358-369. https://doi.org/10.1007/s42853-022-00148-8.

Effect of internal insect infestation on single kernel mass and particle density of corn and wheat - (Peer Reviewed Journal)
Boac, J., Casada, M.E., Pordesimo, L.O., Arthur, F.H., Maghirang, R., Mina, C.D. 2022. Effect of internal insect infestation on single kernel mass and particle density of corn and wheat. Applied Engineering in Agriculture. 38(3):583-588. https://doi.org/10.13031/aea.14858.

Discrete element method simulation of wheat bulk density as affected by grain drop height and size distribution - (Peer Reviewed Journal)
Petingco, M.C., Casada, M.E., Maghirang, R.G., Thompson, S.A., McNeill, S.G., Monbtross, M.D., Turner, A.P. 2022. Discrete element method simulation of wheat bulk density as affected by grain drop height and size distribution. Transactions of the ASABE. 65(3):555-566. https://doi.org/10.13031/ja.14811.

Flax and sorghum: Multi-elemental contents and nutritional values within 210 varieties and potential selection for future climates to sustain food security - (Peer Reviewed Journal)
Gokhan, H., Armstrong, P.R. 2022. Flax and Sorghum: Multi-Elemental Contents and Nutritional Values within 210 Varieties and Potential Selection for Future Climates to Sustain Food Security.. Plants. 11(3). Article 541. https://doi.org/10.3390/plants11030451.