OUTCOMES
Stage 1 - Establish THE AGRI-ANALYTICS HUB
Development of tool interface and new statistical models for visualising experiments and understanding spatial variability of crop production and economic returns (RoI).
Stage 2
Establish, run, analyse and visualise the ROI of various cropping inputs for a range of input use cases (e.g., fertiliser treatments/types, seeding, fungicides) using statistical models developed in stage 1 (e.g. Bayesian models).
Stage 3
Land use optimisation, Iteration of statistical models (e.g. AI & ML); ongoing development of hub to establish, run, analyse and visualise return on investment for various land use options.
STAGE 4
Development of predictive analytics incorporating climate models to plan and evaluate RoI and risk in future cropping scenarios.
EXTERNAL LINKS
GALLERY