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ARS Home » Plains Area » Manhattan, Kansas » Center for Grain and Animal Health Research » Stored Product Insect and Engineering Research » People & Locations » Lester Pordesimo
Lester O Pordesimo
RES AGRI ENGR


Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Influence of ultrasound tempering on roller milling of white and sumac sorghum - (Peer Reviewed Journal)
Potential of flatbed scanner for evaluation of flour samples for dark specks and flour color - (Peer Reviewed Journal)
Brabec, D.L., Grothe, S.M., Perez-Fajardo, M.A., Pordesimo, L.O., Yeater, K.M. 2024. Potential of flatbed scanner for evaluation of flour samples for dark specks and flour color. Cereal Chemistry. 101:508–517. https://doi.org/10.1002/cche.10758.
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)
Pulivarthi, M.K., Buenavista, R.M., Bangar, S.P., Pordesimo, L.O., Bean, S.R., Silveru, K. 2023. Dry fractionation process operations in the production of protein concentrates: A review . Trends in Food Science and Technology. 22(6):4670-4697. https://doi.org/10.1111/1541-4337.13237.
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.
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.
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.
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.
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.
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.
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.
FOOD POWDER DELIVERY THROUGH A FEEDER SYSTEM:EFFECT OF PHYSICO-CHEMICAL PROPERTIES - (Peer Reviewed Journal)
Pordesimo, L.O., Onwulata, C.I., Carvalho, C.W. 2009. FOOD POWDER DELIVERY THROUGH A FEEDER SYSTEM:EFFECT OF PHYSICO-CHEMICAL PROPERTIES. International Journal of Food Properties. 12:556-570
INVESTIGATION INTO GRAIN DRY MATTER LOSS DURING FIELD DRYING OF CORN - (Proceedings)
Pordesimo, L.O., Saxton, A.M., Paul, L.E., Belm, R.C. Investigation into grain dry matter loss during field drying of corn. Meeting Abstract. Proceedings Paper #066203