CSIRO
3 documented AI deployments at CSIRO, across 1 industry. Each one links to the public source it was taken from.
Public AI record
CSIRO has 3 documented public AI cases on the hub, too few for a score. Agriculture optimization and agronomic advisory are common among peers but not yet documented at CSIRO.
A record score appears once CSIRO has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case Aug 2019, latest Feb 2021. No new deployment documented since Feb 2021. Cloud providers named: Microsoft.
Compared with peers
Against 11 other agriculture companies on the hub.
What peers document
- Agriculture optimization11 of 11 peers100%
- Agronomic advisory4 of 11 peers36%
- Crop disease detection2 of 11 peers · here too18%
- Crop yield prediction2 of 11 peers18%
Gaps against the industry
- Agriculture optimization: 100% of peers, not documented at CSIRO yet
- Agronomic advisory: 36% of peers, not documented at CSIRO yet
Signature use cases
No peer on the hub documents livestock monitoring.
Stack and approach vs peers
- Peer cases name Microsoft 88%, AWS 6%, GCP 2%.
- AI agents: 0% of CSIRO's cases vs 29% for peers.
- Cases from the last 12 months: 0% vs 8% for peers.
Deployments
3 deployments at CSIRO, newest first.
- 17 Feb 2021AgricultureAustralia
CSIRO and APN Cape York use AI and drones to accelerate turtle nest conservation
CSIRO · Livestock monitoring · Microsoft
The CSIRO and Aak Puul Ngantam (APN) Cape York Indigenous rangers partnered with Microsoft to develop an AI-powered system to streamline threatened turtle nest and predator monitoring on Australia’s remote northern beaches. Previously, manual surveys took a month to complete, hampering conservation efforts. Using Azure cloud, AI for Earth, and Power BI, drone and helicopter photos are efficiently analyzed with custom-trained models to identify turtle nests and predator tracks. Results are delivered via Power BI dashboards, enabling rangers to act rapidly and adapt predator control efforts in real time. The collaboration integrates Indigenous knowledge and state-of-the-art technology and has demonstrably reduced nest predation rates and improved hatchling survivability. The pipeline approach is replicable for other environmental management applications.
Production
−30%quantified impact - 15 Jun 2020AgricultureAustralia
CSIRO improves farm productivity and conservation using AI and data-driven insights
CSIRO · Crop disease detection · Microsoft
CSIRO, Australia's national science agency, partnered with Microsoft to apply AI, cloud, and data analytics in tackling major agricultural and environmental challenges, such as plastic pollution, illegal fishing, and boosting farm productivity. Scientists use machine learning and Microsoft’s Custom Vision to rapidly analyze images and videos from beach and ocean surveys, allowing for automatic identification and tracking of plastic garbage and marine debris. The partnership deploys Azure FarmBeats and low-cost sensors at the Boorowa agricultural station to monitor soil health, crop yields, and farm operations through connected digital ecosystems. Rangers and indigenous land managers use mobile dashboards and AI-driven analysis to support on-ground conservation decisions, resulting in tangible ecological benefits, e.g., recovery of native species. The collaboration also helps combat illegal fishing with AI-powered audio and vision analytics, providing authorities actionable insights from underwater microphones, satellite data, and sensors. Microsoft’s tools facilitate integration of various environmental and agricultural data sources, enabling informed intervention, research, and ecological management decisions. The CSIRO–Microsoft partnership exemplifies how AI-driven farming techniques and environmental monitoring can deliver resource efficiency, sustainability, and improved farm and fisheries management.
Production
- 24 Aug 2019AgricultureAustralia
CSIRO revolutionizes remote feral cattle management in Australia
CSIRO · Livestock monitoring · Microsoft
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.
Scaled Production
What it builds
Livestock monitoring is the most common pattern in these deployments: 2.
Cloud providers named
Microsoft is named in 3 of these deployments.
- Microsoft100% of these3