What challenges did CSIRO face before AI implementation?

Northern Australia faces significant ecological and economic threats from the proliferation of feral cattle. Traditional monitoring and control measures are expensive, labor-intensive, and often ineffective in vast, remote regions. The spread of feral animals disrupts ecosystems and endangers native species. There is a need to integrate indigenous land management with modern technologies for more effective herd control.

What was the impact of the AI solution?

Creation of the largest remote feral herd management system in the world. Enhanced ecological protection: more effective interventions to protect native habitats. Operational efficiency: reduced labor and monitoring costs for CSIRO and partners. Improved collaboration between indigenous landholders and scientific teams.

Source

MicrosoftExpandedScaled productionEvidence: Medium55/100

CSIRO revolutionizes remote feral cattle management in Australia

Use case typeLivestock monitoringUpdated Jun 13, 2026

CSIRO, Australia's national science agency, collaborated with Microsoft to address the challenge of feral cattle threatening the ecology and economy of Northern Australia. The solution leveraged Microsoft Azure and AI, combined with low-orbit satellite data and indigenous knowledge. This created an advanced system for tracking and managing herds remotely over vast, inaccessible rangelands. The implementation is considered the largest remote livestock management system globally, improving ecological protection and economic safeguards. AI-powered insights help land managers monitor, predict, and reduce the negative impacts of feral animals. The approach integrates advanced cloud, AI, and geospatial technologies for real-time situational awareness, enabling more targeted and humane interventions, while supporting indigenous communities and ecological stewardship. The initiative demonstrates how technology and traditional knowledge can work together to solve complex environmental challenges at scale. The outcomes include more efficient herd management, cost savings, and better ecological outcomes for affected regions.

Organization: CSIRO
Industry: Agriculture
Location: Australia
Published: August 2019

Reported outcomes

Strategic outcomes

Scale & capacityCreated largest remote herd management systemCustomer experience & trustImproved ecological protectionCost efficiencyReduced monitoring and labor costsEcosystem & partnershipsImproved indigenous and scientific collaboration

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: CSIRO
Provider: Microsoft
Maturity: Scaled Production
Linked source: news.microsoft.com

The initiative demonstrates how technology and traditional knowledge can work together to solve complex environmental challenges at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Remote monitoring and management of feral livestock
2Geospatial AI for ecology protection
3Satellite-AI herd tracking and intervention

Northern Australia faces significant ecological and economic threats from the proliferation of feral cattle.
Traditional monitoring and control measures are expensive, labor-intensive, and often ineffective in vast, remote regions.
The spread of feral animals disrupts ecosystems and endangers native species.
There is a need to integrate indigenous land management with modern technologies for more effective herd control.

CSIRO implemented a remote tracking and management system using Microsoft Azure cloud and AI technologies.
Low-orbit satellites collect herd movement and environmental data over large territories.
AI models process this data to provide actionable insights and predict herd activity for effective intervention.
The system combines local indigenous expertise with advanced analytics and cloud infrastructure, enabling efficient, scalable management.

Technologies

Microsoft Azure AI

Creation of the largest remote feral herd management system in the world.
Enhanced ecological protection: more effective interventions to protect native habitats.
Operational efficiency: reduced labor and monitoring costs for CSIRO and partners.
Improved collaboration between indigenous landholders and scientific teams.

Architecture

CSIRO integrated low-orbit satellite sensors that collect location and movement data, streamed into Microsoft Azure for storage and processing. AI models analyze geospatial and animal data in real time, enabling alerts and suggested interventions. Indigenous land managers access dashboards and insights via cloud-based interfaces, combining on-the-ground knowledge with machine-generated recommendations.

Sources & evidence1

Evidence: Medium55/100Evidence strength