Discovery Projects - Grant ID: DP230101787

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP230101787

Funding Status
Active

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Funded Activity Summary

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.

Funded Activity Details

Start Date: 01-01-2023

End Date: 31-12-2025

Funding Scheme: Discovery Projects

Funding Amount: $476,538.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Soil sciences | Environmental biogeochemistry | Land capability and soil productivity |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Chemical Fertilisers | Environmental biogeochemistry | Environmentally Sustainable Plant Production Not Elsewhere Classified | Land capability and soil productivity | Management of Greenhouse Gas Emissions From Plant Production | Soil sciences

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