Items where Author is "Hosseini Bai, Shahla"

2024

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

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

2023

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

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., 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

2018

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