BM
Budiman Minasny
The University of Sydney
Research areas: Agricultural and Biological Sciences · Soil Science · Soil Geostatistics and Mapping · Soil Carbon and Nitrogen Dynamics · Soil Moisture and Remote Sensing
0000-0002-1182-2371
Employment
- 2000 - Present
Education
- 1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (393)
- Illusions of Accuracy: Widespread Data Leakage Distorts Machine Learning Results in Biochar Research Save
- MPGRIDS, global geospatial estimates of microplastic inputs to agricultural soil via organic amendments Save
- 3N Agriculture: Growing the greenest tomorrow Save
- Soil Health Within Soil Security Save
- A Physics‐Informed Neural Network for Retrieving the Continuous Soil Particle Size Distribution From Vis–NIR Spectra Save
- Physics‐Informed Neural Networks to Develop Site‐Specific Pedotransfer Functions Save
- Lower-cost Vis-NIR spectrometer to estimate key soil properties in humid tropical regions Save
- Super-Resolution for Downscaling Soil Organic Carbon Maps Save
- Accessible Soil Spectroscopy: Evaluating Low‐Cost Vis–NIR Spectrometers for Resource‐Constrained Environments Save
- Digital Mapping of Soil Vanadium Across Australia Save
- Mechanistic Modeling of Soil Inorganic Carbon Dynamics in Controlled Experiments Save
- Peatlands of Oceania: Ecology and Opportunities Save
- The Impact of Land Use on Peat Characteristics in the Highlands of Humbang Hasundutan, Indonesia Save
- Soil Physics‐Informed Neural Networks to Estimate Bimodal Soil Hydraulic Properties Save
- Global blind spots in soil health research overlap with environmental vulnerability hotspots Save
- AI as a Catalyst for Cross‐Disciplinary Breakthroughs in Soil Carbon Sequestration Research Save
- The Biogeography of Soil Bacteria in Australia Exhibits Greater Resistance to Climate Change Than Fungi Save
- Soil Organic Carbon Prediction and Mapping in Morocco Using PRISMA Hyperspectral Imagery and Meta-Learner Model Save
- Diffuse Reflectance Spectroscopy for Soil Testing Under Different Soil Nutrient Management in Cocoa Production Systems Save
- Machine Learning and Artificial Intelligence Applications in Soil Science Save