Items where Author is "Tahmasbian, Iman"
Group by: Item Type | Date Jump to: Article | Conference or Workshop Item Number of items: 27. ArticleMa, B., Tahmasbian, I., Guo, T., Zhou, M., Tang, W. and Zhang, M. (2024) Antagonistic Effect of Microplastic Polyvinyl Chloride and Nitrification Inhibitor on Soil Nitrous Oxide Emission: An Overlooked Risk of Microplastic to the Agrochemical Effectiveness. Journal of Agricultural and Food Chemistry . ISSN 0021-8561 Guo, T., Wang, F., Tahmasbian, I., Wang, Y., Zhou, T., Pan, X., Zhang, Y., Li, T. and Zhang, M. (2024) Core Soil Microorganisms and Abiotic Properties as Key Mechanisms of Complementary Nanoscale Zerovalent Iron and Nitrification Inhibitors in Decreasing Paclobutrazol Residues and Nitrous Oxide Emissions. Journal of Agricultural and Food Chemistry, 72 (14). pp. 7672-7683. ISSN 0021-8561 Seididamyeh, M., Tahmasbian, I., Phan, A. D. T. and Sultanbawa, Y. (2024) Geographical origin discrimination of lemon myrtle (Backhousia citriodora) leaf powder using near-infrared hyperspectral imaging. Food Bioscience, 59 . p. 103946. ISSN 2212-4292 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. ISSN 0023-6438 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. ISSN 0168-1699 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. ISSN 2072-4292 Tahmasbian, I., McMillan, M. N., Kok, J. and Courtney, A. J. (2024) Underwater hyperspectral imaging technology has potential to differentiate and monitor scallop populations. Reviews in Fish Biology and Fisheries, 34 (1). pp. 371-383. ISSN 1573-5184 Omidvar, N., Ogbourne, S. M., Xu, Z., Burton, J., Ford, R., Salehin, B., Tahmasbian, I., Michael, R., Wilson, R. and Bai, S. H. (2023) Effects of herbicides and mulch on the soil carbon, nitrogen, and microbial composition of two revegetated riparian zones over 3 years. Journal of Soils and Sediments, 23 (7). pp. 2755-2782. ISSN 1614-7480 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 . ISSN 1614-7499 Zhou, T., Wang, F., Tahmasbian, I., Ma, B., Liu, M. and Zhang, M. (2023) Linking Carbendazim Accumulation with Soil and Endophytic Microbial Community Diversities, Compositions, Functions, and Assemblies: Effects of Urea-hydrogen Peroxide and Nitrification Inhibitors. Journal of Agricultural and Food Chemistry, 71 (46). pp. 17689-17699. ISSN 0021-8561 Farrar, M. B., Wallace, H. M., Tahmasbian, I., Yule, C. M., Dunn, P. K. and Hosseini Bai, S. (2023) Rapid assessment of soil carbon and nutrients following application of organic amendments. CATENA, 223 . p. 106928. ISSN 0341-8162 Phillips, I. R., Paungfoo-Lonhienne, C., Tahmasbian, I., Hunter, B., Smith, B., Mayer, D. G. and Redding, M. R. (2022) Combination of Inorganic Nitrogen and Organic Soil Amendment Improves Nitrogen Use Efficiency While Reducing Nitrogen Runoff. Nitrogen, 3 (1). pp. 58-73. ISSN 2504-3129 Bai, S. H., Omidvar, N., Gallart, M., Kämper, W., Tahmasbian, I., Farrar, M., Singh, K., Zhou, G., Muqadass, B., Xu, C.-Y., Koech, R., Li, Y., Nguyen, T. T. N. and van Zwieten, L. (2022) Combined effects of biochar and fertilizer applications on yield: A review and meta-analysis. Science of The Total Environment, 808 . p. 152073. ISSN 0048-9697 Farrar, M. B., Wallace, H. M., Brooks, P., Yule, C. M., Tahmasbian, I., Dunn, P. K. and Hosseini Bai, S. (2021) A Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes. Remote Sensing, 13 (9). p. 1807. ISSN 2072-4292 Tahmasbian, I., Wallace, H. M., Gama, T. and Bai, S. H. (2021) An automated non-destructive prediction of peroxide value and free fatty acid level in mixed nut samples. LWT, 143 , 110893. ISSN 0023-6438 Tahmasbian, I., Morgan, N. K., Hosseini Bai, S., Dunlop, M. W. and Moss, A. F. (2021) Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat. Remote Sensing, 13 (6). ISSN 2072-4292 Hemmat-Jou, M. H., Safari-Sinegani, A. A., Che, R., Mirzaie-Asl, A., Tahmourespour, A. and Tahmasbian, I. (2021) Toxic trace element resistance genes and systems identified using the shotgun metagenomics approach in an Iranian mine soil. Environmental Science and Pollution Research, 28 (4). pp. 4845-4856. ISSN 1614-7499 Wang, D., Abdullah, K. M., Tahmasbian, I., Xu, Z. and Wang, W. (2020) Impacts of prescribed burnings on litter production, nitrogen concentration, δ13C and δ15N in a suburban eucalypt natural forest of subtropical Australia. Journal of Soils and Sediments, 20 . pp. 3148-3157. ISSN 1614-7480 Che, R., Liu, D., Qin, J., Wang, F., Wang, W., Xu, Z., Li, L., Hu, J., Tahmasbian, I. and Cui, X. (2020) Increased litter input significantly changed the total and active microbial communities in degraded grassland soils. Journal of Soils and Sediments, 20 . pp. 2804-2816. ISSN 1439-0108 Malmir, M., Tahmasbian, I., Xu, Z., Farrar, M. B. and Bai, S. H. (2020) Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection. Journal of Soils and Sediments, 20 (1). pp. 249-259. ISSN 1614-7480 Kämper, W., Trueman, S. J., Tahmasbian, I. and Bai, S. H. (2020) Rapid Determination of Nutrient Concentrations in Hass Avocado Fruit by Vis/NIR Hyperspectral Imaging of Flesh or Skin. Remote Sensing, 12 (20). ISSN 2072-4292 Phan, T. D., Smart, J. C. R., Stewart-Koster, B., Sahin, O., Hadwen, W. L., Dinh, L. T., Tahmasbian, I. and Capon, S. J. (2019) Applications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal. Water, 11 (12). p. 2642. ISSN 2073-4441 Malmir, M., Tahmasbian, I., Xu, Z., Farrar, M. B. and Bai, S. H. (2019) Prediction of soil macro- and micro-elements in sieved and ground air-dried soils using laboratory-based hyperspectral imaging technique. Geoderma, 340 . pp. 70-80. ISSN 0016-7061 Tahmasbian, I., Xu, Z., Nguyen, T. T. N., Che, R., Omidvar, N., Lambert, G. and Bai, S. H. (2019) Short-term carbon and nitrogen dynamics in soil, litterfall and canopy of a suburban native forest subjected to prescribed burning in subtropical Australia. Journal of Soils and Sediments, 19 (12). pp. 3969-3981. ISSN 1614-7480 Tahmasbian, I., Xu, Z., Boyd, S., Zhou, J., Esmaeilani, R., Che, R. and Hosseini Bai, S. (2018) Laboratory-based hyperspectral image analysis for predicting soil carbon, nitrogen and their isotopic compositions. Geoderma, 330 . pp. 254-263. ISSN 0016-7061 Gama, T., Wallace, H. M., Trueman, S. J., Tahmasbian, I. and Bai, S. H. (2017) Hyperspectral imaging for non-destructive prediction of total nitrogen concentration in almond kernels. Acta Horticulturae, 1219 . pp. 259-264. ISSN 9462612161 Conference or Workshop ItemTahmasbian, 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. |