New Zealand Farms Boost Productivity with Agentic AI and Copilot Tools
New Zealand's agricultural sector is witnessing significant digital transformation through the adoption of agentic and generative AI. Companies like Fonterra and Halter, alongside research organizations such as AgResearch and the University of Canterbury, are piloting and deploying Microsoft technology solutions in real-world farm settings. The use of Microsoft 365 Copilot is enhancing productivity for agribusiness staff, while conversational farm advisor agents built on large language models are empowering farmers to make smarter, data-driven decisions. Groundbreaking virtual fencing solutions from Halter are enabling autonomous cattle herding, reducing labor requirements and improving animal management. AI-powered image recognition is improving quality control, and collective industry and government support is accelerating digital skills and practical AI integration within New Zealand agriculture.
- Organization
- Fonterra
- Industry
- Agriculture
- Location
- New Zealand
- Published
- May 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 5
- 1Farm Decision Support Assistant
- 2Virtual Fencing and Autonomous Herding
- 3Quality Control via AI Vision
- Labor shortages in rural areas causing operational strain on farms.
- Modern farms generate overwhelming volumes of data (weather, soil, livestock) that are difficult to analyze.
- Agriculture sector under pressure to improve sustainability and productivity.
- Compliance and marketing require faster, automated response to remain competitive globally.
- Deployed Microsoft 365 Copilot for marketing, internal communication, and productivity tasks within agri-businesses like Fonterra.
- Piloted conversational agent solutions using large language models with AgResearch and University of Canterbury for on-farm, data-driven recommendations.
- Implemented Halter’s AI-powered virtual fencing and herding system using solar-powered collars and agentic AI apps.
- Adopted AI-powered image recognition for dairy product quality control and explored autonomous data aggregation systems for improved farm guidance.
- Increased staff productivity and efficiency with Copilot adoption in office functions.
- Reduced manual labor and improved livestock management using Halter's agentic AI system, enabling rapid commercial scaling.
- Conversational AI pilots show promise in democratizing advanced analytics for everyday farm users.
- Greater industry and government investment in AI transforms sector-wide digital skills and operational agility.
Architecture
Microsoft 365 Copilot and custom generative AI assistants are integrated into existing office workflows. Virtual farm advisor agents use large language models to synthesize farm sensor and weather data for decision recommendations. Halter’s autonomous collar system combines solar-powered IoT hardware, mobile apps, and agentic AI for real-time livestock management. AI vision algorithms run in processing plants for dairy product quality assurance. Data from multiple farm sensors and market sources are autonomously aggregated to guide operational decisions.
Sources & evidence1
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- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
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