Items where Subject is "Technology > Technology (General) > Spectroscopy > NIR (Near Infrared)"

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Coates, D.B. and Dixon, R.M. (2008) Development of near infrared analysis of faeces to estimate non-grass proportions in diets selected by cattle grazing tropical pastures. Journal of near Infrared Spectroscopy, 16 (5). pp. 471-480.

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Dixon, R. and Coates, D. (2009) Review: Near infrared spectroscopy of faeces to evaluate the nutrition and physiology of herbivores. Journal of near Infrared Spectroscopy, 17 (1). pp. 1-31.

Dixon, R.M. and Coates, D.B. (2008) Diet quality and liveweight gain of steers grazing Leucaena-grass pasture estimated with faecal near infrared reflectance spectroscopy (F.NIRS). Australian Journal of Experimental Agriculture, 48 (7). pp. 835-842.

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Fox, G. and Manley, M. (2009) Hardness Methods for Testing Maize Kernels. Journal of Agricultural and Food Chemistry, 57 (13). pp. 5647-5657.

Fox, G.P. and Bloustein, G. and Sheppard, J. (2010) "On-the-go" NIT technology to assess protein and moisture during harvest of wheat breeding trials. Journal of Cereal Science, 51 (1). pp. 171-173.

Fox, G.P. and Cruickshank, A. (2005) Near infrared reflectance as a rapid and inexpensive surrogate measure for fatty acid composition and oil content in peanuts (Arachis hypogaea L.). Journal of Near Infrared Spectroscopy, 13 (5). pp. 287-291.

Fox, G.P. and Osborne, B. and Bowman, J. and Kelly, A. and Cakir, M. and Poulsen, D. and Inkerman, A. and Henry, R. (2007) Measurement of genetic and environmental variation in barley (Hordeum vulgare) grain hardness. Journal of Cereal Science, 46 (1). pp. 82-92.

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Guthrie, J. and Greensill, C. and Bowden, R. and Walsh, K. (2004) Assessment of quality defects in macadamia kernels using NIR spectroscopy. Australian Journal of Agricultural Research, 55 (4). pp. 471-476.

Guthrie, J. and Walsh, K.B. (1999) Influence of environmental and instrumental variables on the non-invasive prediction of Brix in pineapple using near infrared spectroscopy. Australian Journal of Experimental Agriculture, 39 (1). pp. 73-80.

Guthrie, J. and Walsh, K.B. (1997) Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy. Australian Journal of Experimental Agriculture, 37 (2). pp. 253-263.

Guthrie, J. and Wedding, B. and Walsh, K. (1998) Robustness of NIR calibrations for soluble solids in intact melon and pineapple. Journal of Near Infrared Spectroscopy, 6 . pp. 259-265.

Guthrie, J.A. (2005) Robustness of NIR calibrations for assessing fruit quality. PhD thesis, Central Queensland University, Rockhampton, Queensland, Australia.

Guthrie, J.A. and Liebenberg, C.J. and Walsh, K.B. (2006) NIR model development and robustness in prediction of melon fruit total soluble solids. Australian Journal of Agricultural Research, 57 (4). pp. 411-418.

Guthrie, J.A. and Liebenberg, C.J. and Walsh, K.B. (2006) The sensitivity of updated NIR PLS models for fruit sorting to initial parameter settings. In: 12th Australian Near Infrared Spectroscopy Group (ANISG) Conference, 7-10 May 2006, Rockhampton.

Guthrie, J.A. and Reid, D.J. and Walsh, K.B. (2005) Assessment of internal quality attributes of mandarin fruit. 2. NIR calibration model robustness. Australian Journal of Agricultural Research, 56 (4). pp. 417-426.

Guthrie, J.A. and Walsh, K.B. and Reid, D.J. and Liebenberg, C.J. (2005) Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development. Australian Journal of Agricultural Research, 56 (4). pp. 405-416.

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Nitsame Affane, A.L. and Fox, G.P. and Sigge, G.O. and Manley, M. and Britz, T.J. (2011) Simultaneous prediction of acidity parameters (pH and titratable acidity) in Kefir using near infrared reflectance spectroscopy. International Dairy Journal, 21 (11). pp. 896-900.

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Rodrigues, Hugh. NIRS calibrations for predicting the nutritional quality of feed. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).

Rodrigues, Hugh. Screening of new lines of cereal grains for inclusion in Near Infra Red Scan calibrations. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).

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Smyth, H.E and Cozzolino, D. and Cynkar, W.U. and Dambergs, R.G. and Sefton, M. and Gishen, M. (2008) Near infrared spectroscopy as a rapid tool to measure volatile aroma compounds in Riesling wine: Possibilities and limits. Analytical and Bioanalytical Chemistry, 390 (7). pp. 1911-1916.

Smyth, H.E. and Drasch, P. and Cozzolino, D. and Fox, G. and Percival, S. (2006) Potential of VIS-NIR Spectroscopy to predict perceived ‘muddy’ taint in australian farmed barramundi. In: 12th Australian Near Infrared Spectroscopy Group (ANISG) Conference, 7-10 May 2006, Rockhampton.

Smyth, H.E. and Mayze, J. and Exley, P. and Fox, G. and Poole, S. and Drabsch, P. and Percival, S. and Cozzolino, D. (2006) Exploring the potential of VIS-NIR spectroscopy to predict sensory properties of foods. NIR News, 17 (8). pp. 10-11.

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Walsh, K.B. and Guthrie, J.A. and Burney, J. (2000) Application of commercially available, low-cost, miniaturised NIR spectrometers to the assessment of the sugar content of intact fruit. Australian Journal of Plant Physiology, 12 (27). pp. 1175-1186.

Walters, Wendy. Single kernel NIR assessment for QTL identification. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).

Wedding, B. and White, R. and Grauf, S. and Coomans, D. and Nottingham, S. and Gadek, P. (2006) The determination of essential oils in Sandalwood via NIR Spectroscopy. In: 12th Australian Near Infrared Spectroscopy Group (ANISG) Conference, 7-10 May 2006, Rockhampton.

Wedding, B.B. and White, R.D. and Grauf, S. and Wright, C. and Tilse, B. and Hofman, P. and Gadek, P.A. (2011) Non-destructive prediction of 'Hass' avocado dry matter via FT-NIR spectroscopy. Journal of the Science of Food and Agriculture, 91 (2). pp. 233-238.

Wedding, B.B. and Wright, C. and Grauf, S. and White, R.D. and Gadek, P.A. (2011) Near infrared spectroscopy as a rapid non-invasive tool for agricultural and industrial process management with special reference to avocado and sandalwood industries. Desalination and Water Treatment, 32 (1-3). pp. 365-372.

Williams, P. and Geladi, P. and Fox, G.P. and Manley, M. (2009) Maize kernel hardness classification by near infrared (NIR) hyperspectral imaging and multivariate data analysis. Analytica Chimica Acta, 653 (2). pp. 121-130.

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Zahri, S. and Moubarik, A. and Charrier, F. and Chaix, G. and Baillères, H. and Nepveu, G. and Charrier, B. (2008) Quantitative assessment of total phenol contents of European oak (Quercus petraea and Quercus robur) by diffuse reflectance NIR spectroscopy on solid wood surfaces. Holzforschung, 62 (6). pp. 679-687.