WN
Wartini Ng
The University of Sydney Institute of Agriculture, The University of Sydney
Research areas: Agricultural and Biological Sciences · Soil Science · Soil Geostatistics and Mapping · Spectroscopy and Chemometric Analyses · Soil Carbon and Nitrogen Dynamics
0000-0002-5053-6917
Employment
-
The University of Sydney Institute of Agriculture Postdoctoral Research Fellow2020 - Present
Education
- 2016 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (34)
- Machine learning prediction of soil carbon fractions using bulk-soil and fraction-specific MIR spectra: Is physical fractionation necessary? Save
- Nitrogen at the nexus of food, energy and soil security Save
- Illusions of Accuracy: Widespread Data Leakage Distorts Machine Learning Results in Biochar Research Save
- How to enhance soil security and assess soil condition and health for better implementation and efficiency Save
- Beyond Soil Health: Soil Security Underpinning a National Framework for Sustainable Australian Agriculture Save
- SOC stabilisation shifts from carbon accumulation in temperate soils to mineral association in subtropical soils Save
- Applications and Challenges of Visible-Near-Infrared and Mid-Infrared Spectroscopy in Soil Analysis: Chemometric Approaches and Data Fusion Save
- Lower-cost Vis-NIR spectrometer to estimate key soil properties in humid tropical regions Save
- Accessible Soil Spectroscopy: Evaluating Low‐Cost Vis–NIR Spectrometers for Resource‐Constrained Environments Save
- Delineating Genosoils and Phenosoils in Europe Using the Global Pedogenon Map Save
- Digital Mapping of Soil Vanadium Across Australia Save
- Mapping the distribution and magnitude of soil inorganic and organic carbon stocks across Australia Save
- A Quantitative Property‐Based Layer and Profile Numerical Soil Classification System for Australia Save
- Creating soil districts for Australia based on pedogenon mapping Save
- Soil Science-Informed Machine Learning Save
- Exploring mid‐infrared spectral transfer functions for the prediction of multiple soil properties using a global dataset Save
- Redesigning the soil Tea Bag Index methodology for school and citizen science in Australia Save
- Estimating surrogates, utility graphs and indicator sets for soil capacity and security assessments using legacy data Save
- Soil security—Strategizing a sustainable future for soil Save
- Digital soil mapping of lithium in Australia Save