Dr Wartini Ng
School of Life and Environmental Sciences
Wartini Ng is a research fellow in the School of Life and Environmental Sciences within the University of Sydney. She received a BS degree with cum laude in environmental engineering from University of California Riverside in USA, and PhD degree in soil science from University of Sydney. Her doctoral research focused on the integration of novel data analytics and proximal sensing to analyse soil conditions. She explored the use of machine learning methods, including deep learning to improve the prediction accuracies of soil properties in large spectral databases.
Dr Ng’s research interest has been on designing the combination of measurement and modelling approaches to solve agriculture and environment problems. She utilized proximal sensing technologies, including mid-infrared and near-infrared spectroscopy for rapid acquisition of soil properties and potential determination or identification soil contamination, such as petroleum hydrocarbons and microplastics. She also has an interest in understanding how soil varies in space and time using digital soil mapping. Internationally, she collaborates with colleagues in USA, Brazil, France, Indonesia and Korea.
Publications
Journals
- Ng, W., Evangelista, S., Padarian Campusano, J., Pachon, J., O'Donoghue, T., Xue, P., Francos, N., McBratney, A. (2024). Estimating surrogates, utility graphs and indicator sets for soil capacity and security assessments using legacy data. Soil Research, 62(2). [More Information]
- Ng, W., Winowiecki, L., Karari, V., Weullow, E., Ateku, D., Vågen, T., Pittaki, Z., Minasny, B. (2024). Exploring mid-infrared spectral transfer functions for the prediction of multiple soil properties using a global dataset. Soil Science Society of America Journal. [More Information]
- Wadoux, A., Roman Dobarco, M., Ng, W., McBratney, A. (2024). Spatial evaluation of the soils capacity and condition to store carbon across Australia. Geoderma, 442, 116805. [More Information]
2024
- Ng, W., Evangelista, S., Padarian Campusano, J., Pachon, J., O'Donoghue, T., Xue, P., Francos, N., McBratney, A. (2024). Estimating surrogates, utility graphs and indicator sets for soil capacity and security assessments using legacy data. Soil Research, 62(2). [More Information]
- Ng, W., Winowiecki, L., Karari, V., Weullow, E., Ateku, D., Vågen, T., Pittaki, Z., Minasny, B. (2024). Exploring mid-infrared spectral transfer functions for the prediction of multiple soil properties using a global dataset. Soil Science Society of America Journal. [More Information]
- Wadoux, A., Roman Dobarco, M., Ng, W., McBratney, A. (2024). Spatial evaluation of the soils capacity and condition to store carbon across Australia. Geoderma, 442, 116805. [More Information]
2022
- Ng, W., Minasny, B., Jeon, S., McBratney, A. (2022). Mid-infrared spectroscopy for accurate measurement of an extensive set of soil properties for assessing soil functions. Soil Security, 6. [More Information]
- Xue, P., McBratney, A., Minasny, B., O’Donnell, T., Pino, V., Fajardo Pedraza, M., Ng, W., Wilson, N., Deaker, R. (2022). Soil bacterial depth distribution controlled by soil orders and soil forms. Soil Ecology Letters, 4(1), 57-68. [More Information]
- Ng, W., Minasny, B., Jones, E., McBratney, A. (2022). To spike or to localize? Strategies to improve the prediction of local soil properties using regional spectral library. Geoderma, 406, 115501. [More Information]
2021
- Pino, V., McBratney, A., O'Brien, E., Ng, W. (2021). Boosting soil citizen-science using Tea Bag Index method towards soil security in Australia. Soil Security, 5. [More Information]
2020
- Ng, W., Minasny, B., McBratney, A. (2020). Convolutional neural network for soil microplastic contamination screening using infrared spectroscopy. Science of the Total Environment, 702(1), 134723. [More Information]
- Ng, W., Husnain, H., Anggria, L., Siregar, A., Hartatik, W., Sulaeman, Y., Jones, E., Minasny, B. (2020). Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia. Geoderma Regional, 22, e00319. [More Information]
- Ng, W., Minasny, B., de Sousa Mendes, W., Melo Demattê, J. (2020). The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data. Soil, 6(2), 565-578. [More Information]
2019
- Ng, W., Minasny, B., Montazerolghaem, M., Padarian Campusano, J., Ferguson, R., Bailey, S., McBratney, A. (2019). Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra. Geoderma, 352, 251-267. [More Information]
- Ng, W., Minasny, B., Malone, B., Sarathjith, M., Das, B. (2019). Optimizing wavelength selection by using informative vectors for parsimonious infrared spectra modelling. Computers and Electronics in Agriculture, 158, 201-210. [More Information]
2018
- Ng, W., Minasny, B., Malone, B., Filippi, P. (2018). In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra. PeerJ, 2018 (10), 1-27. [More Information]
2017
- Ng, W., Malone, B., Minasny, B. (2017). Rapid assessment of petroleum-contaminated soils with infrared spectroscopy. Geoderma, 289, 150-160. [More Information]
Selected Grants
2024
- An integrated schema for soil carbon stock estimation and crediting, McBratney A, Minasny B, Ng W, Padarian Campusano J, Department of Industry, Science and Resources/National Soil Carbon Innovation Challenge (NSCIC) Round 2