Situational Analysis of Artificial Intelligence for Agriculture

Nous Group Pty Ltd

  • Project code: PRO-020632

  • Project stage: Current

  • Project start date: Thursday, September 11, 2025

  • Project completion date: Thursday, February 26, 2026

  • National Priority: NCO - National Challenges and Opportunities - M3

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Summary

Nous Group will deliver a strategic roadmap to guide responsible and scalable adoption of Artificial Intelligence (AI) across Australia’s agriculture, fisheries and forestry (AFF) sectors. Commissioned by AgriFutures on behalf of the RDC AI Alliance, this project will provide a robust situational and gap analysis, stakeholder-tested priorities, and a co-designed investment and implementation plan.

Nous will draw on its expertise in complex multi-stakeholder engagement and sector-level strategy to deliver:

A strategic overview of the current state of AI in agriculture, fisheries, and forestry;
A gap analysis of current capabilities and barriers to adoption;
Actionable recommendations for investment, collaboration, and capability building;
A roadmap to support RDCs and AgriFutures in leading the AI transition.

Through layered engagement—including interviews, focus groups and workshops—we will surface tensions, build alignment, and prioritise initiatives that reflect sector-wide needs. The final deliverables will position RDCs to lead a coordinated innovation ecosystem, accelerate scientific discovery, and unlock productivity, sustainability and resilience gains.

Refer to the attached proposal for more detail on Nous’ proposed approach.

Program

National Rural Issues

Research Organisation

Nous Group Pty Ltd

Objective Summary

The primary objective of this project is to deliver a credible, evidence-based roadmap to guide responsible and scalable adoption of Artificial Intelligence (AI) across Australia’s agriculture, fisheries and forestry sectors.

Major objectives include:

A situational and gap analysis. To understand the current state of AI adoption, foundational enablers, and barriers across the sector.
Layered stakeholder engagement—including interviews, focus groups and workshop. To build consensus and shape strategic priorities.
Translation of technical complexity and AI hype into clear, actionable insights for the RDCs.
Development of a strategic narrative that links AI adoption to sector-wide benefits and supports a collective case for investment.
Design of a an implementation plan for the sector that outlines priority actions, roles, timelines, and governance structures.