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Research Publications
Below, a list of peer-reviewed research articles in which optical sensing was used to characterize objects, such as, seeds, insects, and plants
Studies involving optical sensing of crop seeds
Nansen C, Lee H, Imtiaz M, Mesgaran M. 2022. Experimental data manipulations to assess performance of hyperspectral classification models of crop seeds and other objects. Plant Methods 18:74. https://doi.org/10.1186/s13007-022-00912-z
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Nansen C, Zhao G, Dakin N, Zhao C, Turner S R. 2015. Using hyperspectral imaging to determine germination of native Australian plant seeds. Journal of Photochemistry and Photobiology B: Biology 145: 19-24. doi: 10.1016/j.jphotobiol.2015.02.015.​
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Zhang X, Nansen C, Aryamanesh N, Yan G, Boussaid F. 2015. Importance of spatial and spectral data reduction in detection of internal defects in food products. Applied Spectroscopy 69(4): 473-80. DOI: 10.1366/14-07672.
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​Nansen C, Zhang X, Aryamanesh N, Yan G. 2014. Use of variogram analysis to classify field peas with and without internal defects caused by weevil infestation. Journal of Food Engineering 123: 17-22. DOI: 10.1016/j.jfoodeng.2013.09.001
Studies involving optical sensing of insect specimens
Nansen C, Stewart AN, Melgarejo T, Wintermantel WM, McRoberts N, Gilbertson RL. 2019. Proximal remote sensing to differentiate non-viruliferous and viruliferous insect vectors – proof of concept and importance of input data robustness. Plant Pathology. Doi: 10.1111/ppa.12984
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Nansen C, Strand MR. 2018. Body reflectance features used as non-destructive indicators of physiological responses by host insect to parasitism. Frontiers in Physiology-Invertebrate Physiology. 9: 1716. https://doi.org/10.3389/fphys.2018.01716
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Li X, Hongxing X, Feng L, Fu X, Zhang Y, Nansen C. 2017. Using proximal remote sensing in non-invasive phenotyping of invertebrates. PLOS One. 12(5): e0176392. doi: 10.1371/journal.pone.0176392.
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Voss S C, Magni P, Dadour I, Nansen C. 2017. Reflectance-based determination of age and species of blowfly pupae. International Journal of Legal Medicine. 21: 131(1): 263-274. DOI: http://dx.doi.org/10.1007/s00414-016-1458-5
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Wang Y, Nansen C, Zhang Y. 2016. Integrative insect taxonomy based on morphology, mitochondrial DNA and hyperspectral reflectance profiling. Zoological Journal of the Linnean Society. doi: 10.1111/zoj.12367.
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Nansen C, Ribeiro LP, Dadour I, Roberts JD. 2015. Detection of temporal changes in insect body reflectance in response to killing agents. PLOS One 10(4): e0124866. DOI: 10.1371/journal.pone.0124866.
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​Nansen C, Coelho A Jr, Mendes J V, Parra JRP. 2014. Reflectance-based identification of parasitized host eggs and adult Trichogramma specimens. Journal of Experimental Biology 217: 1187-1192 doi:10.1242/jeb.095661.
Studies involving optical sensing of crop plants
Nansen C, PJ. Savi, A Mantri. 2024. Methods to optimize optical sensing of biotic plant stress – combined effects of hyperspectral imaging at night and spatial binning. Plant Methods. DOI: 10.1186/s13007-024-01292-2.
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Nansen C, Murdock M, Purington R, Marshall S. 2021. Early infestations by arthropod pests induce unique changes in plant compositional traits and leaf reflectance. Pest Management Science, https://doi.org/10.1002/ps.6556.
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Nansen C, Purington R, Murdock M. 2021. Using advanced optical sensing to quantify phytotoxicity in ornamental plants. HortTechnology, https://doi.org/10.21273/HORTTECH04866-21
