Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques

• Journals
• DOI reference: 10.3390/s25010287

Linking measurable and conceptual phosphorus pools (in APSIM) enables quantitative model initialisation

• Journals
• DOI reference: 10.1016/j.still.2025.106532

Sustainability, Reporting and Market Access for Grain and Oilseed Growers: Can Yield Data Provide More Rigour and Transparency?

• Journals
• DOI reference: 10.1002/sae2.70059

Managing data in collaborative research starts with the researcher: A Soil CRC case study

• Journals
• DOI reference: 10.1080/08989621.2025.2525878

An Observations Framework for data interoperability: Enabling descriptive regional data for soil and land management in the Australian context

• Journals
• DOI reference: 10.1016/j.geodrs.2025.e01029

Identification of high-performing soil groups in grazing lands using a multivariate analysis method

• Journals
• DOI reference: 10.1016/j.soisec.2024.100163

A smart agriculture information system delivering research data for adoption by the Australian grains industry

• Journals
• DOI reference: 10.1016/j.atech.2024.100610

Soil-Water Dynamics Investigation at Agricultural Hillslope with High-Precision Weighing Lysimeters and Soil-Water Collection Systems

• Journals
• DOI reference: 10.3390/w15132398

Matching the model to the available data to predict wheat, barley, or canola yield: A review of recently published models and data

• Journals
• DOI reference: 10.1016/j.agsy.2023.103749

Analysis of Uncertainty in the Depth Profile of Soil Organic Carbon

• Journals
• DOI reference: 10.3390/environments10020029

Use of digital technology for research data and information transfer within the Australian grains sector: A case study using Online Farm Trials

• Journals
• DOI reference: 10.1016/j.agsy.2022.103591

Determination of Munsell Soil Colour Using Smartphones

• Journals
• DOI reference: 10.3390/s23063181

Epistemic Uncertainties in the Assessment of Regional Soil Acidification

• Journals
• DOI reference: 10.3390/environments9080097

Using agricultural metadata: A novel investigation of trends in sowing date in on-farm research trials using the Online Farm Trials database

• Journals
• DOI reference: 10.12688/f1000research.26903.2

Digital soil mapping and assessment for Australia and beyond: A propitious future

• Journals
• DOI reference: 10.1016/j.geodrs.2021.e00359

Operationalising digital soil mapping – Lessons from Australia

• Journals
• DOI reference: 10.1016/j.geodrs.2020.e00335

Development of pedotransfer functions by machine learning for prediction of soil electrical conductivity and organic carbon content

• Journals
• DOI reference: 10.1016/j.geoderma.2020.114210

Testing the public-private soil data and information sharing model for sustainable soil management outcomes

• Journals
• DOI reference: 10.1111/sum.12472

Improving the FAIRness of Australia’s grains research sector data

• Conference Proceedings
• DOI reference:

Online Farm Trials (OFT) – the past, present and future

• Conference Proceedings
• DOI reference:

Accounting for measurement errors when harmonising incongruent soil data - A case study

• Journals
• DOI reference: 10.1071/SR17307

Assessment of Error Sources in Measurements of Field pH: Effect of Operator Experience, Test Kit Differences, and Time-Of-Day

• Journals
• DOI reference: 10.1080/00103624.2017.1395442

Error propagation in computer models: analytic approaches, advantages, disadvantages and constraints

• Journals
• DOI reference: 10.1007/s00477-018-1555-8

Improving the information content in soil pH maps: a case study

• Journals
• DOI reference: 10.1111/ejss.12452

Quantification of Uncertainty in Mathematical Models: The Statistical Relationship between Field and Laboratory pH Measurements

• Journals
• DOI reference: 10.1155/2017/5857139

Soil data for biophysical models in Victoria, Australia: Current needs and future challenges

• Journals
• DOI reference: 10.1016/j.geodrs.2016.03.004

Multi-source data integration and identification of uncertainties affecting production of a digital soil map

• Conference Proceedings
• DOI reference:

A digital soil map of Victoria-VicDSMv1

• Conference Proceedings
• DOI reference: 10.1201/b16500-36

The relationship between the rapid rejection of Haemonchus contortus larvae with cells and mediators in abomasal tissues in immune sheep

• Journals
• DOI reference:

Immune cell kinetics in the ovine abomasal mucosa following hyperimmunization and challenge with Haemonchus contortus

• Journals
• DOI reference: 10.1051/vetres/2010009

Dual oxidase 2 and glutathione peroxidase gene expression are elevated in hyperimmunised sheep challenged with Haemonchus contortus

• Journals
• DOI reference: 10.1016/j.vetpar.2011.02.013

Identification and interpretation of sources of uncertainty in soils change in a global systems-based modelling process

• Journals
• DOI reference: 10.1071/SR14239

100 Years of superphosphate addition to pasture in an acid soil - Current nutrient status and future management

• Conference Proceedings
• DOI reference: 10.1071/SR14241

What can legacy datasets tell us about soil quality trends? Soil acidity in Victoria

• Conference Proceedings
• DOI reference: 10.1088/1755-1315/25/1/012015

Spatial and temporal prediction of soil properties from legacy data

• Conference Proceedings
• DOI reference: 10.1201/b12728-48

Land use change: Understanding and managing soil dynamics

• Journals
• DOI reference: 10.1071/RS10014

A pragmatic quantitative model for soil organic carbon distribution in eastern Australia

• Conference Proceedings
• DOI reference: 10.1201/b12728-24

Reflections on GlobalSoilMap.net, DSM and the legacy of soil survey information in Victoria, Australia-The pedology matters

• Conference Proceedings
• DOI reference: 10.1201/b16500-29

Prediction of field capacity and permanent wilting point using rapid soil sensing approaches

• Conference Proceedings
• DOI reference: 10.1201/b12728-82

Modelling and prediction of soil water contents at field capacity and permanent wilting point of dryland cropping soils

• Journals
• DOI reference: 10.1071/SR10160

The 3D distribution of phyllosilicate clay minerals in western Victoria

• Journals
• DOI reference: 10.1016/j.geoderma.2016.07.006