Thomas G. Orton
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View article: Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data
Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data Open
Deep learning (DL) and machine learning (ML) have been applied widely to satellite data of vegetation indices to infer indirect features associated with soil characteristics that affect crop performance in rain-fed environments. In this pa…
View article: A Study of the Relationships between Depths of Soil Constraints and Remote Sensing Data from Different Stages of the Growing Season
A Study of the Relationships between Depths of Soil Constraints and Remote Sensing Data from Different Stages of the Growing Season Open
The presence of salinity and sodicity in the root zone can limit root development and impact crop yield. Topsoil constraints are likely to have the greatest impact on crop growth early in the growing season, when plant roots are still shal…
View article: Evaluation of remotely sensed imagery to monitor temporal changes in soil organic carbon at a long-term grazed pasture trial
Evaluation of remotely sensed imagery to monitor temporal changes in soil organic carbon at a long-term grazed pasture trial Open
Temporal variation of soil organic carbon (SOC) is driven by land use/management practice, ecosystem conditions and climatic variation. Robust quantification of changes in SOC that is cost-effective and provides a statistical assessment of…
View article: Are Climate-Dependent Impacts of Soil Constraints on Crop Growth Evident in Remote-Sensing Data?
Are Climate-Dependent Impacts of Soil Constraints on Crop Growth Evident in Remote-Sensing Data? Open
Soil constraints limit plant growth and grain yield in Australia’s grain-cropping regions, with the nature of the impact dependent on climate. In seasons with low in-crop (short for “during the crop growing season”) rainfall, soil constrai…
View article: Developing and Testing Remote-Sensing Indices to Represent within-Field Variation of Wheat Yields: Assessment of the Variation Explained by Simple Models
Developing and Testing Remote-Sensing Indices to Represent within-Field Variation of Wheat Yields: Assessment of the Variation Explained by Simple Models Open
One important issue faced by wheat producers is temporal and spatial yield variation management at a within-field scale. Vegetation indices derived from remote-sensing platforms, such as Landsat, can provide vital information characterisin…
View article: Using remote sensing to forecast forage quality for cattle in the dry savannas of northeast Australia
Using remote sensing to forecast forage quality for cattle in the dry savannas of northeast Australia Open
In the dry savannas of northeast Australia, forage quality is just as important for cattle production as forage quantity. The seasonal trend of forage quality is broadly predictable by land managers, but it is more difficult to predict the…
View article: Modeling Precomputation In Games Played Under Computational Constraints
Modeling Precomputation In Games Played Under Computational Constraints Open
Understanding the properties of games played under computational constraints remains challenging. For example, how do we expect rational (but computationally bounded) players to play games with a prohibitively large number of states, such …
View article: An Introduction To Regret Minimization In Algorithmic Trading: A Survey of Universal Portfolio Techniques
An Introduction To Regret Minimization In Algorithmic Trading: A Survey of Universal Portfolio Techniques Open
In financial investing, universal portfolios are a means of constructing portfolios which guarantee a certain level of performance relative to a baseline, while making no statistical assumptions about the future market data. They fall unde…
View article: Digital soil mapping and assessment for Australia and beyond: A propitious future
Digital soil mapping and assessment for Australia and beyond: A propitious future Open
International audience
View article: Digital soil assessment delivers impact across scales in Australia and the Philippines
Digital soil assessment delivers impact across scales in Australia and the Philippines Open
Retrospective evaluation has consistently shown that soil information has value beyond the investment used to produce it. Digital soil mapping and assessment (DSMA) is the new paradigm for soil survey and a key source of soil and land info…
View article: Model-Based Geostatistics from a Bayesian Perspective: Investigating Area-to-Point Kriging with Small Data Sets
Model-Based Geostatistics from a Bayesian Perspective: Investigating Area-to-Point Kriging with Small Data Sets Open
Area-to-point kriging (ATPK) is a geostatistical method for creating high-resolution raster maps using data of the variable of interest with a much lower resolution. The data set of areal means is often considerably smaller ( $$<\,50 $$ o…
View article: Source code in the R programming language, belonging with: Model based geostatistics from a Bayesian perspective: Investigating area‐to‐point kriging with small datasets
Source code in the R programming language, belonging with: Model based geostatistics from a Bayesian perspective: Investigating area‐to‐point kriging with small datasets Open
Area-to-point kriging (ATPK) is a geostatistical method for creating maps of high resolution using data of much lower resolution. These R-scripts compare prediction uncertainty using different ATPK methods, using simulations and a real wor…
View article: Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation
Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation Open
We explored soil properties as indices of mineralisable nitrogen (N) in sugarcane soils and whether we could increase the accuracy of predicting N mineralisation during laboratory incubations. Utilising historical data in combination with …
View article: Soil chloride content influences the response of bacterial but not fungal diversity to silver nanoparticles entering soil via wastewater treatment processing
Soil chloride content influences the response of bacterial but not fungal diversity to silver nanoparticles entering soil via wastewater treatment processing Open
Silver nanoparticles (NPs) are among the most widely used nanomaterials and are entering soil ecosystems, mainly via biosolids in agriculture. When added directly to soils, metallic Ag-NPs have been shown to affect microbial communities, w…
View article: Effects of carbon nanotubes and derivatives of graphene oxide on soil bacterial diversity
Effects of carbon nanotubes and derivatives of graphene oxide on soil bacterial diversity Open
Carbon nanotubes (CNTs), reduced graphene oxide (rGO) and ammonia-functionalized graphene oxide (aGO), are nanomaterials that possess varied and useful properties. However, following their use, their release into the environment is inevita…
View article: Graphene oxide affects soil bacterial and fungal diversity even at parts-per-trillion concentrations
Graphene oxide affects soil bacterial and fungal diversity even at parts-per-trillion concentrations Open
Graphene oxide (GO) is an oxidized form of graphene that is relatively cheap and easy to produce. This has heralded its widespread use in a range of industries, with its likelihood of release into the environment increasing accordingly. In…