Skip to content

Publications

2023#

  • Holmes, W.S., Ooi, M.P.L., Abeysekera, S., Kuang, Y.C., Simpkin, R., Caddie, M., Nowak, J. and Demidenko, S., 2023, May. On machine learning methods to estimate cannabidiolic acid content of Cannabis sativa L. from near-infrared hyperspectral imaging. In 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 01-06). IEEE. 10.1109/I2MTC53148.2023.10175994

  • Abeysekera, S.K., Robinson, A., Ooi, M.P.L., Kuang, Y.C., Manley-Harris, M., Holmes, W., Hirst, E., Nowak, J., Caddie, M., Steinhorn, G. and Demidenko, S., 2023. Sparse reproducible machine learning for near infrared hyperspectral imaging: Estimating the tetrahydrocannabinolic acid concentration in Cannabis sativa L. Industrial Crops and Products, 192, p.116137. 10.1016/j.indcrop.2022.116137

2022#

  • Ooi, M.P.L., Robinson, A., Manley-Harris, M., Hill, S., Raymond, L., Kuang, Y.C., Steinhorn, G., Caddie, M., Nowak, J., Holmes, W. and Demidenko, S., 2022. Robust statistical analysis to predict and estimate the concentration of the cannabidiolic acid in Cannabis sativa L.: A comparative study. Industrial Crops and Products, 189, p.115744. 10.1016/j.indcrop.2022.115744

2020#

  • Holmes, W.S., Ooi, M.P.L., Kuang, Y.C., Simpkin, R., Blanchon, D., Gupta, G.S. and Demidenko, S., 2020, May. Signal-to-noise ratio contributors and effects in proximal near-infrared spectral reflectance measurement on plant leaves. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6). IEEE. 10.1109/I2MTC43012.2020.9129359

  • Holmes, W.S., Ooi, M.P.L., Kuang, Y.C., Simpkin, R., Lopez-Ubiria, I., Vidiella, A., Blanchon, D., Gupta, G.S. and Demidenko, S., 2020, May. Classifying Cannabis sativa flowers, stems and leaves using statistical machine learning with near-infrared hyperspectral reflectance imaging. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6). IEEE. 10.1109/I2MTC43012.2020.9129531