Items where Subject is "Spectroscopy"

Article

Akbarian, S., Xu, C.-Y., Wang, W., Ginns, S. P. and Lim, S. (2022) Sugarcane yields prediction at the row level using a novel cross-validation approach to multi-year multispectral images. Computers and Electronics in Agriculture, 190 , 107024. https://doi.org/10.1016/j.compag.2022.107024

Bai, S. H., Tootoonchy, M., Kämper, W., Tahmasbian, I., Farrar, M. B., Boldingh, H., Pereira, T., Jonson, H., Nichols, J., Wallace, H. M. and Trueman, S. J. (2024) Predicting Carbohydrate Concentrations in Avocado and Macadamia Leaves Using Hyperspectral Imaging with Partial Least Squares Regressions and Artificial Neural Networks. Remote Sensing, 16 (18). p. 3389. https://doi.org/10.3390/rs16183389

Chow, S., Fletcher, M.T. and McKenzie, R.A. (2010) Analysis of Daphnane Orthoesters in Poisonous Australian Pimelea Species by Liquid Chromatography-Tandem Mass Spectrometry. Journal of Agricultural and Food Chemistry, 58 (12). pp. 7482-7487. https://doi.org/10.1021/jf101752r

Dung, C. D., Trueman, S. J., Wallace, H. M., Farrar, M. B., Gama, T., Tahmasbian, I. and Bai, S. H. (2023) Hyperspectral imaging for estimating leaf, flower, and fruit macronutrient concentrations and predicting strawberry yields. Environmental Science and Pollution Research . https://doi.org/10.1007/s11356-023-30344-8

Farrar, M. B., Omidvar, R., Nichols, J., Pelliccia, D., Lateef Al-Khafaji, S., Tahmasbian, I., Hapuarachchi, N. and Hosseini Bai, S. (2024) Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools. Computers and Electronics in Agriculture, 224 . p. 109209. https://doi.org/10.1016/j.compag.2024.109209

Gama, T., Farrar, M. B., Tootoonchy, M., Wallace, H. M., Trueman, S. J., Tahmasbian, I. and Hosseini Bai, S. (2024) Hyperspectral imaging predicts free fatty acid levels, peroxide values, and linoleic acid and oleic acid concentrations in tree nut kernels. LWT . p. 116068. https://doi.org/10.1016/j.lwt.2024.116068

George, G.A., Cole-Clarke, P., St. John, N. and Friend, G. (1991) Real-time monitoring of the cure reaction of a TGDDM/DDS epoxy resin using fiber optic FT-IR. Journal of Applied Polymer Science, 42 (3). pp. 643-657. https://doi.org/10.1002/app.1991.070420310

Ghosh, T., Maity, P. P., Rabbi, S. M.F., Das, T. K. and Bhattacharyya, R. (2023) Application of X-ray computed tomography in soil and plant -a review. Frontiers in Environmental Science, 11 , 1216630. https://doi.org/10.3389/fenvs.2023.1216630

Guinto, D.F., Xu, Z.H., Saffigna, P.G., House, A.P.N. and Perera, M.C.S. (1999) Soil nitrogen mineralisation and organic matter composition revealed by 13C NMR spectroscopy under repeated prescribed burning in eucalypt forests of south-east Queensland. Australian Journal of Soil Research, 37 (1). pp. 123-136. https://doi.org/10.1071/S97034

Hayes, P. Y., Chow, S., Somerville, M. J., De Voss, J. J. and Fletcher, M. T. (2009) Pimelotides A and B, diterpenoid ketal-lactone orthoesters with an unprecedented skeleton from Pimelea elongata. Journal of Natural Products, 72 (12). pp. 2081-2083. https://doi.org/10.1021/np900573k

Heim, R. H. J., Wright, I. J., Chang, H. ‐C., Carnegie, A. J., Pegg, G. S., Lancaster, E. K., Falster, D. S. and Oldeland, J. (2018) Detecting myrtle rust (Austropuccinia psidii) on lemon myrtle trees using spectral signatures and machine learning. Plant Pathology, 67 (5). pp. 1114-1121. https://doi.org/10.1111/ppa.12830

Lupoi, J. S., Singh, S., Davis, M., Lee, D. J., Shepherd, M., Simmons, B. A. and Henry, R. J. (2014) High-throughput prediction of eucalypt lignin syringyl/guaiacyl content using multivariate analysis: a comparison between mid-infrared, near-infrared, and Raman spectroscopies for model development. Biotechnology for Biofuels, 7 (1). p. 93. https://doi.org/10.1186/1754-6834-7-93

Madhavan, D. B., Baldock, J. A., Read, Z. J., Murphy, S. C., Cunningham, S. C., Perring, M. P., Herrmann, T., Lewis, T., Cavagnaro, T. R., England, J. R., Paul, K. I., Weston, C. J. and Baker, T. G. (2017) Rapid prediction of particulate, humus and resistant fractions of soil organic carbon in reforested lands using infrared spectroscopy. Journal of Environmental Management, 193 . pp. 290-299. https://doi.org/10.1016/j.jenvman.2017.02.013

Mao, X.-a., Xu, Z., Luo, R.-s., Mathers, N. J., Zhang, Y.-h. and Saffigna, P. G. (2002) Nitrate in soil humic acids revealed by 14N nuclear magnetic resonance spectroscopy. Australian Journal of Soil Research, 40 (5). pp. 717-726. https://doi.org/10.1071/SR01093

Massetti, L., Colella, V., Zendejas, P. A., Ng-Nguyen, D., Harriott, L., Marwedel, L., Wiethoelter, A. and Traub, R. J. (2020) High-throughput multiplex qPCRs for the surveillance of zoonotic species of canine hookworms. PLOS Neglected Tropical Diseases, 14 (6). e0008392.

Mathers, N. J. and Xu, Z. (2003) Solid-state 13C NMR spectroscopy: Characterization of soil organic matter under two contrasting residue management regimes in a 2-year-old pine plantation of subtropical Australia. Geoderma, 114 (1-2). pp. 19-31. https://doi.org/10.1016/S0016-7061(02)00339-7

Mathers, N. J., Xu, Z., Berners-Price, S. J., Senake Perera, M.C. and Saffigna, P. G. (2002) Hydrofluoric acid pre-treatment for improving 13C CPMAS NMR spectral quality of forest soils in south-east Queensland, Australia. Australian Journal of Soil Research, 40 (4). pp. 665-674. https://doi.org/10.1071/SR01073

Mathers, N. J., Xu, Z., Blumfield, T. J., Berners-Price, S. J. and Saffigna, P. G. (2003) Composition and quality of harvest residues and soil organic matter under windrow residue management in young hoop pine plantations as revealed by solid-state 13C NMR spectroscopy. Forest Ecology and Management, 175 (1-3). pp. 467-488. https://doi.org/10.1016/S0378-1127(02)00182-2

Morelli, T. L., Hayes, R. A., Nahrung, H. F., Goodwin, T. E., Harelimana, I. H., MacDonald, L. J. and Wright, P. C. (2013) Relatedness communicated in lemur scent. Naturwissenschaften, 100 (8). pp. 769-777. https://doi.org/10.1007/s00114-013-1074-x

Noble, R.M. (1974) Fluorometric determination of vitamin A in stockfood concentrates and premixes. Queensland Journal of Agricultural and Animal Sciences, 31 (1). pp. 93-96.

Redding, M. R., Lewis, R., Waller, J., Phillips, F. and Griffith, D. (2013) Large-chamber methane and nitrous oxide measurements are comparable to the backward Lagrangian stochastic method. Journal of Environmental Quality, 42 (6). pp. 1643-1651. https://doi.org/10.2134/jeq2013.05.0200

Robson, A.J., Wright, G. and Phinn, S. (2006) Using field spectroscopy and quickbird imagery for the assessment of peanut crop maturity and aflatoxin. Journal of Spatial Science, 51 (2). pp. 151-162. https://doi.org/10.1080/14498596.2006.9635089

San, A. T., Joyce, D. C., Hofman, P. J., Macnish, A. J., Webb, R. I., Matovic, N. J., Williams, C. M., De Voss, J. J., Wong, S. H. and Smyth, H. E. (2017) Stable isotope dilution assay (SIDA) and HS-SPME-GCMS quantification of key aroma volatiles for fruit and sap of Australian mango cultivars. Food Chemistry, 221 . pp. 613-619. https://doi.org/10.1016/j.foodchem.2016.11.130

Seididamyeh, M., Netzel, M. E., Mereddy, R., Harmer, J. R. and Sultanbawa, Y. (2024) Effect of gum Arabic on antifungal photodynamic activity of curcumin against Botrytis cinerea spores. International Journal of Biological Macromolecules, 283 (1). p. 137019. https://doi.org/10.1016/j.ijbiomac.2024.137019

Seididamyeh, M., Netzel, M. E., Mereddy, R., Harmer, J. R. and Sultanbawa, Y. (2023) Photodynamic Inactivation of Botrytis cinerea Spores by Curcumin—Effect of Treatment Factors and Characterization of Photo-generated Reactive Oxygen Species. Food and Bioprocess Technology, 77 (3). pp. 670-685. https://doi.org/10.1007/s11947-023-03150-w

Shahi, T. B., Xu, C.-Y., Neupane, A., Fresser, D., O’Connor, D., Wright, G. and Guo, W. (2023) A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images. PLOS ONE, 18 (3). e0282486. https://doi.org/10.1371/journal.pone.0282486

Tahmasbian, I., Navas, A. and Dunlop, M. W. (2025) Feature Wavelengths for Quantifying Methane Concentrations Using Shortwave Infrared Hyperspectral Imaging: A Controlled Condition Study. Analytical Chemistry, 97 (8). pp. 4416-4424. https://doi.org/10.1021/acs.analchem.4c05590

Wang, Q., Preda, M., Cox, M. and Bubb, K. (2007) Spatial model of site index based on Y-ray spectrometry and a digital elevation model for two Pinus species in Tuan Toolara State Forest, Queensland, Australia. Canadian Journal of Forest Research, 37 (11). pp. 2299-2312.

Yuan, Y., Hungerford, N. L., Gauthier, E., Ouwerkerk, D., Yong, K. W. L., Fletcher, M. T. and Laycock, B. (2021) Extraction and determination of the Pimelea toxin simplexin in complex plant-polymer biocomposites using ultrahigh-performance liquid chromatography coupled with quadrupole Orbitrap mass spectrometry. Analytical and Bioanalytical Chemistry, 413 . pp. 5121-5133. https://doi.org/10.1007/s00216-021-03475-5

Zaman, M., Birkett, G., Pratt, C., Stuart, B. and Pratt, S. (2015) Downstream processing of reverse osmosis brine: Characterisation of potential scaling compounds. Virology, 80 . pp. 227-234. https://doi.org/10.1016/j.watres.2015.05.004

Monograph

Ainsworth, N. (2016) Quality standards, refinement and testing. Project Report. Horticulture Innovation Australia.

Conference or Workshop Item

George, J. (2022) Tropical fruit - using key aroma components as predictors of sensory quality. In: TropAg 2022 International Agriculture Conference, 31 October - 2 November 2022, Brisbane, Australia.

George-Jaeggli, B., Zhi, X., Massey-Reed, S. R., Potgieter, A. B., Hunt, C. H., Watson, J., Chapman, S. C., Laws, K., Borrell, A., Tao, Y., Mace, E. S., Jordan, D. R., Van Oosterom, E. J., Hammer, G. L. and Wu, A. (2022) Deriving radiation use efficiency from hyperspectral sensing for enhanced sorghum production. In: TropAg 2022 International Agriculture Conference, 31 October - 2 November 2022, Brisbane, Australia.

Heisswolf, S. (2019) Reflections on five years in automation, robotics and sensing. In: 2019 Australasia-Pacific Extension Network Conference - APEN Conference - Extending Horizons, 12 - 13 September, 2019, Darwin, Northern Territory, Australia.

Liu, D., Edwards, D., Pun, S., Baker, J. and Williams, D. (2022) An analytical chemistry approach to unlocking wider health benefits of pomegranate fruit. In: TropAg 2022 International Agriculture Conference, 31 October - 2 November 2022, Brisbane, Australia.

Potgieter, A., Camino, C., Poblete, T., George-Jaeggli, B. and et, a. (2023) Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, Calif. USA. https://doi.org/10.1109/IGARSS52108.2023.10282230

Seididamyeh, M., Netzel, M. E., Mereddy, R. and Sultanbawa, Y. (2022) Antifungal photodynamic inactivation with curcumin. In: TropAg 2022 International Agriculture Conference, 31 October - 2 November 2022, Brisbane, Australia.

Tahmasbian, I., Moss, A. F., Morgan, N. K., Pepper, C.-M. and Dunlop, M. W. (2023) Hyperspectral imaging is a promising technology for real-time monitoring of feed and litter quality, and mycotoxin detection. In: 34th Australian Poultry Science Symposium,, 5th - 8th February 2023, Sydney, Australia.