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Sreekala Bajwa - Publications

Book Chapters

  • Bajwa, D. S., E. D. Sitz, and S. G. Bajwa. 2014. Particle boards using agricultural biomass. In. New Crops: Bioenergy, Biomaterials and Sustainability. AAIC. 
  • Bajwa, S. G. and S. S. Kulkarni. 2011. Data minig techniques. In. Hyperspectral Remote Sensing of Vegetation, P. S. Thenkabail, J. G. Lyon and A. Huete (Eds). CRC Press 
  • Bajwa, S. G., and J. A. Apple. 2011. Non-linear modeling of quality of cooked ground beef patties with visible-NIR spectroscopy. In: New Topics in Food Engineering, M. A. Comeau (Ed). Nova Science Publishers, Inc., Hauppauge, New York. ISBN 978-1-61209-599-8. 2011.

Peer Reviewed Journal

  • Bajwa, D. S., E. D. Sitz, S. G. Bajwa, and A. Barnick. 2015. Evaluation of Cattail (Typha spp.) for manufacturing composition panels. Industrial Crops and Products. Online on 16 July 2015. DOI: 10.1016/j.indcrop.2015.06.029. Available at
  • Bajwa, D. S., E. D. Sitz, S. G. Bajwa, and A. Barnick. 2015. Evaluation of Cattail (Typha spp.) for manufacturing composition panels. Industrial Crops and Products. Online on 16 July 2015. DOI: 10.1016/j.indcrop.2015.06.029. Available at
  •  Bajwa, D. S., S. G. Bajwa, and G. A. Holt. 2015. Impact of biofibers and coupling agents on the weathering characteristics of composites. Polymer Degradation and Stability. Online on 23 June 2015. DOI: 10.1016/j.polymdegradstab.2015.06.015
  • Bajwa, S.G., D. S. Bajwa, G. Holt, and T.C. Wedegaertner. 2014. Commercial application of cotton burr/stem and module wrap in thermoplastic composites: Effect of scaling from laboratory to commercial. Journal of Thermoplastic Composites 27(6): 741-757. Online in 2012.
  • Temizel, K. E., M. S. Odabas, N. Senyer, G. Kayhan, S. G. Bajwa, O. Caliskan, and E. Ergun. 2014. Comparison of some models for estimation of reflectance of hypericum leaves under stress conditions. Central European Journal of Biology 9(12): 1226-1234. DOI:10.2478/s11535-014-0356-4
  • Leh, M. D., S. G. Bajwa, and I. Chaubey. 2013. Impact of land use change on erosion risk: an integrated remote sensing, GIS and modeling methodology. Land Degradation and Development 24(5): 409-421.
  • Bajwa, D. S., S.G. Bajwa, G.H. Holt., R. Srinivasan, T. Coffelt, F. Nakayama, and R. Gesch. 2013. Recycling of ligno-cellulosic and polyethylene wastes from agricultural operations in thermoplastic composites. Waste and Biomass Valorization. DOI: 10.1007/s12649-013-9263-6 (Online First)
  • Bajwa, S.G., D.S. Bajwa, G. Holt, T. Coffelt, and F. Nakayama. 2011. Properties of thermoplastic composites with cotton and guayule biomass residue as fiber fillers. Ind. Crops and Prod.33(3):747-755. DOI: 10.1016/j.indcrop.2011.01.017
  • Bajwa, S. G., A. R. Mishra, and R. J. Norman. 2010. Canopy reflectance response to plant nitrogen accumulation in rice. Precision Agriculture 11(5): 488-506. DOI: 10.1007/s11119-009-9142-0.
  • Kulkarni, S. S., S. G. Bajwa, and G. Huitink. 2010. Investigation of the effects of soil compaction in cotton. Trans. ASABE 53(3): 667-674.
  • Garg, V., I. Chaubey, C. Maringani, and S. G. Bajwa. 2010. Inverse modeling of Beaver Reservoir's water spectral reflectance. Trans. ASABE 53(2): 373-383.
  • Bajwa, S. G., A. R. Mishra, and R. Norman. 2010. Plant nitrogen accumulation dynamics in rice (Oryza sativa L.) in response to nitrogen management. Comm. in Soil Sci. and Plant Analysis 41(4): 454-471.
  • Bajwa, S. G., D. S. Bajwa, and G. Holt. 2009. Optimal substitution of cotton burr and linters in thermoplastic composites. Forest Product Journal 59(10): 40-46.
  • Bajwa, S. G., and V. Vibhava. 2009. A distributed artificial neural network model for watershed-scale rainfall-runoff modeling. Trans. ASABE. 52(3): 813-823.
  • Bajwa, S. G., D. S. Bajwa, and A. S. Anthony. 2009. Effect of laboratory aging on the physical and mechanical properties of wood-polymer composites. Journal of Thermoplastic Composite Materials 22(2): 227-243.
  • Bajwa, S. G., J. Kandaswamy, and J. K. Apple. 2009. Analysis of nutrient value of ground beef with VNIR spectroscopy. Journal of Food Engineering 92(4): 454-460.
  • Kulkarni, S., S. G. Bajwa, R. T. Robbins, T. A. Costello, and T. L. Kirkpatrick. 2008. Aerial remote sensing to detect soybean cyst nematodes (Heterodera glycines) in a resistance rotation study. Transactions of the ASABE 51(5): 1511-1517.
  • Mutlu, E., I. Chaubey, H. Hexmoor, and S. G. Bajwa. 2008. Comparison of artificial neural network models for hydrologic predictions at multiple gauging stations in agricultural watersheds. Hydrological Processes 22(26): 5097-5106.
  • Kulkarni, S.S., S. G. Bajwa, J. Rupe, and T. Kirkpatrick. 2008. Spatial correlation of crop response to soybean cyst nematode (Heterodera glycines). Transactions of the ASABE 51(4): 1451-1459.
  • Singh, N. K., S. G. Bajwa, and I. Chaubey. 2008. Removal of surface reflectance from above-water visible-near infrared spectroscopic measurements. Applied Spectroscopy 62(9): 1013-1021.
  • Bajwa, S. G., J. Kandaswamy, and J. K. Apple. 2008. The effect of scanning angle on measured reflectance and tenderness prediction in beef longissimus thoracis steaks. Trans. ASABE 51(1): 351-357.
  • Bajwa, S. G., and E. Vories. 2007. Spatial analysis of cotton (Gossypium hirsutum L.) canopy responses to irrigation in a moderately humid area. Irrigation Science 25(4): 429-441.
  • Bajwa, S. G., and M. Mozaffari. 2007. Effect of N treatments on vegetative index of cotton canopy – A spatial regression approach. Trans. ASABE 50(5):1883-1892.
  • Bourne, P. J., S. G. Bajwa, and D. S. Bajwa. 2007. Evaluation of cotton gin waste as a ligno-cellulosic substitute in wood plastic composites. Forest Products Journal 57(1/2): 127-131.
  • Bajwa, S. G. 2006. Modeling rice plant nitrogen effect on canopy reflectance with partial least square regression. Trans. ASABE 49(1): 229-237.
  • Bajwa, S. G., and A. R. Mishra. 2006. Effect of suspended sediment and chlorophyll concentrations on water reflectance. International Agricultural Engineering Journal 15(2-3): 139-150.
  • Bajwa, S. G., and L. F. Tian. 2005. Soil fertility characterization in agricultural fields using hyperspectral remote sensing. Transactions of the ASAE 48(6): 2399-2407.
  • Bajwa, S. G., P. Bajcsy, P. Grove, and L. F. Tian. 2004. Hyperspectral image data mining for band selection in agricultural applications. Transactions of the ASAE 47(3): 895-907.
  • Bajwa, S. G., and L. Tian. 2002. Multispectral CIR image calibration for cloud shadow and soil background influence using intensity normalization. Applied Engineering in Agriculture 18(5):627-635.
  • Bajwa, S. G., and L. Tian. 2001. Modeling and mapping of spatial weed density within a soybean field from aerial CIR images. Transactions of the ASAE 44(6): 1965-1974.



Peer-reviewed Proceeding Articles

  • Post, J., S. G. Bajwa, Y. Liang, and T. A. Costello. 2010. Comparison of two PM monitoring devices in a commercial broiler house. In. Proc. Air Quality Conference and Symposium, Dallas. ASABE: St. Joseph, MI (peer-reviewed).
  • Bajwa, S. G., and H. Gadiraju. 2007. Laboratory evaluation of clinoptilolite for ammonia emission mitigation from broiler houses. In. Proc. International Symposium on Air Quality and Waste Management for Agriculture. Sept. 15-19, Broomfield, CO.
  • Singh, N., and S. G. Bajwa. 2007. Analysis of evolving surface urban heat island in NW Arkansas. IEEE Region 5 Technical Meeting, April 20-22, Piscataway, NJ: IEEE.
  • Leh, M., and S. G. Bajwa. 2007. Long term land use patterns in NW Arkansas. In. Proc. IEEE Region 5 Technical Meeting, April 20-22, Piscataway, NJ: IEEE.
  • Kandaswamy, J., S. G. Bajwa, and J.K. Apple. 2005. Chemometric modeling of fat, cholesterol and caloric content in cooked and fresh ground beef with NIR reflectance spectroscopy. In. Proc. of SiCON-Sensor for Industry Conference, Houston, TX, Feb 8-10, 2005. Piscataway, NJ: IEEE.
  • Bajwa, S. G., M. Mozaffari, and A. Mishra. 2004. Remote sensing and petiole nutrient analysis for cotton nitrogen management. In: Proc. International Precision Agriculture Conference, July 25-28, Minneapolis, MN.
  • Bajwa, S. G., Mason, J. M., and Rupe, J. 2003. Remote sensing for agricultural crop stress monitoring and diagnosis. In. Proc. of 30th International Symposium on Remote Sensing of Environment, 10-14 November, 2003. Honolulu, Hawaii.



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Last Updated: Monday, October 19, 2015 3:15:27 PM