MicrosoftScaled productionEvidence: High75/100

Stewart Dairylands advances sustainable farming with IoT and AI-driven monitoring

Stewart Dairylands, a major farming enterprise in New Zealand, faced the challenge of increasing productivity and sustainability despite sparse connectivity and budget constraints. To overcome these, Stewart Dairylands partnered with Microsoft and Aware Group to deploy Microsoft Azure FarmBeats, an end-to-end AI and IoT agriculture platform. FarmBeats collected sensor and drone-based data to monitor soil moisture, temperature, and crop health, even across large, hard-to-connect tracts of land using a TV White Space network. By combining sparse sensor deployment with regular drone flights, the solution produced precision heatmaps and insights for managing crops and livestock more proactively. All data is aggregated securely in the cloud for advanced analysis using machine learning, allowing farmers to optimize irrigation, fertilization, and operational decisions. The project reduced hardware costs by 90 percent and demonstrated the viability of data-driven precision agriculture at scale. Future plans include expanding the platform with edge machine learning and farm robotics for further automation and environmental benefits.

Organization
Stewart Dairylands
Industry
Agriculture
Location
New Zealand
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 90% decrease

microsoft.comCustomer storyInferred claimHigh evidence strength

Achieved 90% reduction in physical hardware costs for monitoring.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Stewart Dairylands
Provider
Microsoft
Maturity
Scaled Production
Linked source
microsoft.com

The project reduced hardware costs by 90 percent and demonstrated the viability of data-driven precision agriculture at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1IoT-based Precision Farm Monitoring
  • 2Drone-Enhanced Agricultural Analytics
  • Deployed Microsoft Azure FarmBeats combining AI, IoT sensors, and drone imagery.
  • Used TV White Space networking to extend Internet coverage affordably across the farm.
  • Implemented cloud-based aggregation and analysis of sensor data with precision heatmaps.
  • Planned integration of edge machine learning and connected robots for future operations.
Architecture

Azure FarmBeats ingests data from IoT sensors and drones, transmits it over a TV White Space (TVWS) network to cover remote farmland, and aggregates it securely in the cloud. Machine learning models analyze this data to create precision heatmaps and summary insights for agricultural management. The system integrates with planned edge machine learning devices and robotics for further automation.

Implementation partners1
Sources & evidence2
Evidence: High75/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
  • Multiple corroborating sources available
Type: Customer StoryPublisher: microsoft.comEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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