M.A. Lee, Y. Huang, V.K. Nandula, and K.N. Reddy, Differentiating glyphosate-resistant and glyphosate-sensitive Italian ryegrass using hyperspectral imagery, Proc. SPIE, 9108 (2014).
K.N. Reddy, Y. Huang, M.A., Lee, V.K. Nandula, R.S. Fletcher, S.J. Thomson and F. Zhao,Glyphosate-resistant and glyphosate-susceptible Palmer amaranth (Amaranthus palmeri S. Wats.): hyperspectral reflectance properties of plants and potential for calssification, Pest Management Sci., (2014).
C Nansen, G. Zhao, N. Dakin, C. Zhao, and S.R. Turner,Using hyperspectral imaging to determine germination of native Australian plant seeds, J. Photochem. & Photobio. B, 145 19 (2015).
C. Nansen, X. Zhang, N. Aryamanesh, and G. Yan, Use of variogram analysis to classify field peas with and without internal defects caused by weevil infestation, J. Food Eng., 123, 17 (2014).
P. Wilcox, T.M. Horton, E.Youn, M.K. Jeong, D. Tate, T. Herman, and C. Nansen, Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality, Intell. Data Anal., 18, 25 (2014).
C. Nansen, A.J. Sidumo, X. Martini, K. Stefanova, and J.D. Roberts, Reflectance-based assessment of spider mite "bio-response" to maize leaves and plant potassium content in different irrigation regimes, Computers and Electronics in Agriculture, 97, 21 (2013).
C. Nansen, Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves, Remote Sensing, 4, 180 (2012).
C. Nansen, S. Prager, B. Qi, X. Martini, M. Lewis, and K. Vaugn, Using Hyperspectral Imaging in ZC Research, Proc. 11th Annual SCRI Zebra Chip Reporting Session, p70 (2011).
C. Nansen, T. Herrman, and R. Swanson, Machine Vision Detection of Bonemeal in Animal Feed Samples, Applied Spectroscopy, 64, 637 (2010).
C. Nansen, A.J. Sidumo, and S. Capareda, Vairogram analysis of hyperspectral data to characterize the impact of biotic and abiotic stress of maize plans and to estimate biofuel potential, Applied Spectroscopy, 64, No. 6 (2010).
S. Jay, R. Lawrence, K. Repasky, and C. Keith, Monitoring leafy spurge using a low cost hyperspectral spectrometer, Proc. Am. Soc. of Photogrammetry and Remote Sensing Annual Meeting, Baltimore MD (2009).
S. Jay, R. Lawrence, K. Repasky, and C. Keith, Invasive species mapping using low cost hyperspectral imagery, ASPRS Annual Conference, Baltimore MD (2009). C. Nansen, T. Macedo, R. Swanson, and D.K. Weaver, Use of spatial structure analysis of hyperspectral data cubes for detection of insect-induced stress in wheat plants, Int. J. of Remote Sensing, 30, 2447 (2009).
C. Nansen, M. Kolomeits, and X. Gao, Considerations regarding the use of hyperspectral imaging data in classifications of food products, exemplified by analysis of maize kernels, J. Agric. Food Chem., 14, 2933 (2008).
C. Nansen, G. Zhao, N. Dakin, C Zhao, and S.R. Turner, J. Photochem. and Photobio. B 145 19 (2015).