Items where Author is "Tahmasbian, Iman"

2026

Zhang, M., Tahmasbian, I., Wang, F., Wu, R., Wang, Y. and Zhang, W. (2026) Phosphate-solubilizing bacterium enhanced nitrification inhibitor efficiency in decreasing soil nitrous oxide emissions across varying moisture levels. Environmental Research, 300 . p. 124452. https://doi.org/10.1016/j.envres.2026.124452

Stewart, P., Waters, E., Tahmasbian, I., Feery-Lawrence, Q. and Volp, T. M. (2026) Proactive Approaches to Managing Plague Locusts in Queensland. Final Report. Project Report. State of Queensland, Queensland. (Unpublished)

Zhang, M., Tahmasbian, I., Guo, L. and Wang, Y. (2026) Nitrates in the plant-soil systems: Sources, accumulation, potential risks and strategies to mitigate the accumulation. Pedosphere . (In Press) https://doi.org/10.1016/j.pedsph.2026.05.016

Fang, Y., Weng, Z. (H.), Uddin, S., Tahmasbian, I., Van Zwieten, L., Farrell, M., Rose, M. T., Chen, G., Collins, D., Armstrong, R. and Tavakkoli, E. (2026) Influence of Organic and Inorganic Amendments on Aggregate Development in a Sodic Dispersive Soil. Soil Use and Management, 42 (2). https://doi.org/10.1111/sum.70215

Ouwerkerk, D., Stewart, P., Bray, S. G., Gilbert, R. A., Bowen, M. K., Durmic, Z., Revell, C., Petitt, C., Cowley, R., Hungerford, N., Penrose, B., Tahmasbian, I., Wang, J., Gravel, J., Maguire, A. J., Escobar Correas, S., Dayman, M., Goodwin, K. L., Mayer, D. G., Spiegel, N. B., Reid, D. J., Buck, S. R., Knight, B., McCauley, G., Meale, S., Leach, G., Lawrence, W. and Chapman, D. (2026) Discovering Northern Australia’s low methane feedbase potential. In: 2026 NBRUC conference handbook : Proceedings of the Northern Beef Research Update Conference.

2025

Tahmasbian, I., Omidvar, N., Charles, T. and Hosseini Bai, S. (2025) Soft-Shell Prawns (Penaeus monodon) Can Be Identified Using Hyperspectral Imaging and Machine Learning – A Novel Approach to Ensure Consistency, Accuracy and Speed. Food and Bioprocess Technology . https://doi.org/10.1007/s11947-025-04030-1

Omidvar, N., Xu, Z., Ogbourne, S. M., Ford, R., Sambasivam, P. T., Tran, T. D., Salehin, B., Michael, R. N., Wang, F., Tahmasbian, I., Wilson, R. S. and Bai, S. H. (2025) Long-term glyphosate application and its effects on soil total nitrogen and microbial composition two years after application stopped in biochar-amended soil. Applied Soil Ecology, 213 . p. 106266. https://doi.org/10.1016/j.apsoil.2025.106266

Uddin, S., Rohan, M., Weng, Z. H., Tahmasbian, I., Fang, Y., Hayden, H. L., Armstrong, R. and Tavakkoli, E. (2025) Enhancing Root Proliferation in an Alkaline Dispersive Subsoil: a Comparative Study of Organic and Inorganic Amendments with Different Amelioration Mechanisms. Journal of Soil Science and Plant Nutrition . https://doi.org/10.1007/s42729-025-02602-w

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

2024

Ma, 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, 72 (48). pp. 26654-26663. https://doi.org/10.1021/acs.jafc.4c06528

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. https://doi.org/10.1021/acs.jafc.3c06972

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. https://doi.org/10.1016/j.fbio.2024.103946

Tahmasbian, I., Wang, J., Hosseini Bai, S. and Simpfendorfer, S. (2024) Hyperspectral images captured from wheat grain samples with different levels of DON contamination. [Dataset] https://doi.org/10.60699/nrmy-9a65

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

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

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

Tahmasbian, I. and Wang, J. (2024) Python and MATLAB script used for analysing (regression and classification) the data extracted from hyperspectral images of wheat grain samples infected by Fusarium graminearum. [Dataset] https://doi.org/10.60699/qvsp-0w71

Tahmasbian, I., Wang, J., Simpfendorfer, S., Reid, R., Sultanbawa, Y., Seididamyeh, M. and Hosseini Bai, S. (2024) Reflectance values extracted from hyperspectral images captured from wheat grain samples along with reference DON concentrations. [Dataset] https://doi.org/10.60699/5z9b-ze09

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. https://doi.org/10.1007/s11160-023-09817-z

2023

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. https://doi.org/10.1007/s11368-023-03530-x

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

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.

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. https://doi.org/10.1021/acs.jafc.3c04777

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. https://doi.org/10.1016/j.catena.2023.106928

2022

Phillips, I. R., Paungfoo-Lonhienne, C., Tahmasbian, I., Hunter, B., Smith, B. C., 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. https://doi.org/10.3390/nitrogen3010004

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. https://doi.org/10.1016/j.scitotenv.2021.152073

2021

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. https://doi.org/10.3390/rs13091807

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. https://doi.org/10.1016/j.lwt.2021.110893

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). https://doi.org/10.3390/rs13061128

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. https://doi.org/10.1007/s11356-020-10824-x

2020

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. https://doi.org/10.1007/s11368-020-02664-6

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. https://doi.org/10.1007/s11368-020-02619-x

Tahmasbian, I., Dunlop, M. W. and Brown, G. (2020) Piggery Odour Emission Rate Validation Study. Project Report. Pork CRC.

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. https://doi.org/10.1007/s11368-019-02418-z

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). https://doi.org/10.3390/rs12203409

2019

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. https://doi.org/10.3390/w11122642

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. https://doi.org/10.1016/j.geoderma.2018.12.049

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. https://doi.org/10.1007/s11368-019-02430-3

2018

Nguyen, T. T. N., Wallace, H. M., Xu, C.-Y., (Van) Zwieten, L., Weng, Z. H., Xu, Z., Che, R., Tahmasbian, I., Hu, H.-W. and Bai, S. H. (2018) The effects of short term, long term and reapplication of biochar on soil bacteria. Science of The Total Environment, 636 . pp. 142-151. https://doi.org/10.1016/j.scitotenv.2018.04.278

Bai, S. H., Tahmasbian, I., Zhou, J., Nevenimo, T., Hannet, G., Walton, D., Randall, B., Gama, T. and Wallace, H. M. (2018) A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging. Computers and Electronics in Agriculture, 151 . pp. 492-500. https://doi.org/10.1016/j.compag.2018.06.029

Tahmasbian, I., Hosseini Bai, S., Wang, Y., Boyd, S., Zhou, J., Esmaeilani, R. and Xu, Z. (2018) Using laboratory-based hyperspectral imaging method to determine carbon functional group distributions in decomposing forest litterfall. CATENA, 167 . pp. 18-27. https://doi.org/10.1016/j.catena.2018.04.023

Che, R., Qin, J., Tahmasbian, I., Wang, F., Zhou, S., Xu, Z. and Cui, X. (2018) Litter amendment rather than phosphorus can dramatically change inorganic nitrogen pools in a degraded grassland soil by affecting nitrogen-cycling microbes. Soil Biology and Biochemistry, 120 . pp. 145-152. https://doi.org/10.1016/j.soilbio.2018.02.006

Che, R., Deng, Y., Wang, W., Rui, Y., Zhang, J., Tahmasbian, I., Tang, L., Wang, S., Wang, Y., Xu, Z. and Cui, X. (2018) Long-term warming rather than grazing significantly changed total and active soil procaryotic community structures. Geoderma, 316 . pp. 1-10. https://doi.org/10.1016/j.geoderma.2017.12.005

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. https://doi.org/10.1016/j.geoderma.2018.06.008

2017

Tahmasbian, I., Safari Sinegani, A. A., Nguyen, T. T. N., Che, R., Phan, T. D. and Hosseini Bai, S. (2017) Application of manures to mitigate the harmful effects of electrokinetic remediation of heavy metals on soil microbial properties in polluted soils. Environmental Science and Pollution Research, 24 (34). pp. 26485-26496. https://doi.org/10.1007/s11356-017-0281-y

Tahmasbian, I., Xu, Z., Abdullah, K., Zhou, J., Esmaeilani, R., Nguyen, T. T. N. and Hosseini Bai, S. (2017) The potential of hyperspectral images and partial least square regression for predicting total carbon, total nitrogen and their isotope composition in forest litterfall samples. Journal of Soils and Sediments, 17 (8). pp. 2091-2103. https://doi.org/10.1007/s11368-017-1751-z

Nguyen, T. T. N., Xu, C.-Y., Tahmasbian, I., Che, R., Xu, Z., Zhou, X., Wallace, H. M. and Bai, S. H. (2017) Effects of biochar on soil available inorganic nitrogen: A review and meta-analysis. Geoderma, 288 . pp. 79-96. https://doi.org/10.1016/j.geoderma.2016.11.004

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. https://doi.org/10.17660/ActaHortic.2018.1219.40

2016

Tahmasbian, I. and Safari Sinegani, A. A. (2016) Improving the efficiency of phytoremediation using electrically charged plant and chelating agents. Environmental Science and Pollution Research, 23 (3). pp. 2479-2486. https://doi.org/10.1007/s11356-015-5467-6

2014

Tahmasbian, I., Nasrazadani, A., Shoja, H. and Safari Sinegani, A. A. (2014) The effects of human activities and different land-use on trace element pollution in urban topsoil of Isfahan (Iran). Environmental Earth Sciences, 71 (4). pp. 1551-1560. https://doi.org/10.1007/s12665-013-2561-2

2013

Tahmasbian, I. and Safari Sinegani, A. A. (2013) Monitoring the effects of chelating agents and electrical fields on active forms of Pb and Zn in contaminated soil. Environmental Monitoring and Assessment, 185 (11). pp. 8847-8860. https://doi.org/10.1007/s10661-013-3217-0