The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your
interaction with the ARDC and use of our national research infrastructure and services. The survey will take
approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure
services including Reasearch Link Australia.
We will use the information you provide to improve the national research infrastructure and services we
deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research
Infrastructure Strategy (NCRIS) program.
Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
Complete the 5 min survey now by clicking on the link below.
AI in agriculture: hybrid machine learning models for nitrogen simulation. Agricultural simulation models are used to guide nitrogen management to reduce nitrogen loss and its environmental impact, but they were developed using constrained datasets, which restricts them to site- or regional-specific simulations. This project adopts a novel approach to addressing these problems by applying machine learning-based data analytics. The project will refine the linkages between nitrogen losses and thei ....AI in agriculture: hybrid machine learning models for nitrogen simulation. Agricultural simulation models are used to guide nitrogen management to reduce nitrogen loss and its environmental impact, but they were developed using constrained datasets, which restricts them to site- or regional-specific simulations. This project adopts a novel approach to addressing these problems by applying machine learning-based data analytics. The project will refine the linkages between nitrogen losses and their key drivers, and improve the existing agroecosystem models through data imputation, parameter optimisation and module enhancement. The outcomes of this project will lead to an accurate prediction of nitrogen losses from agriculture, advancement in agroecosystem models and their adaptability to a global context.Read moreRead less
Fate of PAPs and short-chain PFAS in biosolids amended soils. Biosolids generated during wastewater treatment contain PFAS which are persistent, bioaccumulative and toxic. Application of biosolids to agricultural land may result in soil, groundwater and surface water PFAS contamination via leaching and run-off and pose unknown potential risk to soil health, crops and beneficial biota. This study aims to generate novel knowledge on the PFAS fate in biosolid amended soils, crops and toxicity to ke ....Fate of PAPs and short-chain PFAS in biosolids amended soils. Biosolids generated during wastewater treatment contain PFAS which are persistent, bioaccumulative and toxic. Application of biosolids to agricultural land may result in soil, groundwater and surface water PFAS contamination via leaching and run-off and pose unknown potential risk to soil health, crops and beneficial biota. This study aims to generate novel knowledge on the PFAS fate in biosolid amended soils, crops and toxicity to key soil and aquatic biota at environmentally relevant concentrations. This study is supported by Australian water and its allied industries, as it is important for them to ensure that biosolids application to agricultural land is an environmentally sustainable solution to the Australian farmers and communities.Read moreRead less
Understanding the risk of microplastics in Australian agricultural soils. Biosolids following wastewater treatment are a significant source of microplastics (MPs) that are contaminants of concern. MPs in biosolids pose potential unknown risks to agriculture, food security and ecosystem health through their application to farmlands. Currently, the lack of knowledge on the MPs contamination of agricultural soils is a significant knowledge gap. This project aims to generate new knowledge of MPs' fa ....Understanding the risk of microplastics in Australian agricultural soils. Biosolids following wastewater treatment are a significant source of microplastics (MPs) that are contaminants of concern. MPs in biosolids pose potential unknown risks to agriculture, food security and ecosystem health through their application to farmlands. Currently, the lack of knowledge on the MPs contamination of agricultural soils is a significant knowledge gap. This project aims to generate new knowledge of MPs' fate, behaviour, risk and associated contaminants in biosolids and sludge-amended agricultural soils. The new knowledge generated in this project is expected to help devise better management options to minimise the MP associated risks in agricultural soils, thereby safeguarding the food security and soil health.Read moreRead less